-
1
-
-
84946966738
-
Applying AI clustering to engineering tasks
-
Fisher, D., Xu, L., Carnes, J. R., Reich, Y., Fenves, J., Chen, J., Shiavi, R., Biswas, G., and Weinberg, J. Applying AI clustering to engineering tasks. IEEE Expert, 1993, 8(6), 51-60.
-
(1993)
IEEE Expert
, vol.8
, Issue.6
, pp. 51-60
-
-
Fisher, D.1
Xu, L.2
Carnes, J.R.3
Reich, Y.4
Fenves, J.5
Chen, J.6
Shiavi, R.7
Biswas, G.8
Weinberg, J.9
-
2
-
-
50649105831
-
Fast and intuitive clustering of web documents
-
Newport Beach, California, USA, AAAI Press, Menlo Park, California, USA
-
Zamir, O., Etzioni, O., Madani, O., and Karp, R. M. Fast and intuitive clustering of web documents. In Proceedings of the 3rd International Conference on Knowledge Discovery and Data Mining, Newport Beach, California, USA, 1997, pp. 287-290 (AAAI Press, Menlo Park, California, USA).
-
(1997)
Proceedings of the 3rd International Conference on Knowledge Discovery and Data Mining
, pp. 287-290
-
-
Zamir, O.1
Etzioni, O.2
Madani, O.3
Karp, R.M.4
-
3
-
-
0036722310
-
Integration of self-organizing feature map and k-means algorithm for market segmentation
-
Kuo, R. J., Ho, L. M., and Hu, C. M. Integration of self-organizing feature map and k-means algorithm for market segmentation. Comput. Oper. Res., 2002, 29, 1475-1493.
-
(2002)
Comput. Oper. Res
, vol.29
, pp. 1475-1493
-
-
Kuo, R.J.1
Ho, L.M.2
Hu, C.M.3
-
4
-
-
22944482840
-
Attribute clustering for grouping, selection, and classification of gene expression data. IEEE/ACM Trans
-
Au, W.-H., Chan, K. C. C., Wong, A. K. C., and Wang, Y. Attribute clustering for grouping, selection, and classification of gene expression data. IEEE/ACM Trans. Comput. Biol. Bioinf., 2005, 2(2), 83-101.
-
(2005)
Comput. Biol. Bioinf
, vol.2
, Issue.2
, pp. 83-101
-
-
Au, W.-H.1
Chan, K.C.C.2
Wong, A.K.C.3
Wang, Y.4
-
5
-
-
14644431755
-
Unsupervised classification of polarimetric synthetic aperture radar images using fuzzy clustering and EM clustering
-
Kersten, P. R., Lee, J.-S., and Ainsworth, T. L. Unsupervised classification of polarimetric synthetic aperture radar images using fuzzy clustering and EM clustering. IEEE Trans. Geosci. Remote Sens., 2005, 43(3), 519-527.
-
(2005)
IEEE Trans. Geosci. Remote Sens
, vol.43
, Issue.3
, pp. 519-527
-
-
Kersten, P.R.1
Lee, J.-S.2
Ainsworth, T.L.3
-
8
-
-
84893405732
-
Data clustering: A review
-
Jain, A. K., Murty, M. N., and Flynn, P. J. Data clustering: a review. ACM Comput. Surv., 1999, 31(3), 264-323.
-
(1999)
ACM Comput. Surv
, vol.31
, Issue.3
, pp. 264-323
-
-
Jain, A.K.1
Murty, M.N.2
Flynn, P.J.3
-
10
-
-
0031270377
-
A comparative study of clustering methods
-
Zaït, M. and Messatfa, H. A comparative study of clustering methods. Future Gener. Comput. Syst., 1997, 13, 149-159.
-
(1997)
Future Gener. Comput. Syst
, vol.13
, pp. 149-159
-
-
Zaït, M.1
Messatfa, H.2
-
11
-
-
0034826101
-
An experimental comparison of model-based clustering methods
-
Meilã, M. and Heckerman, D. An experimental comparison of model-based clustering methods. Mach. Learn., 2001, 42, 9-29.
-
(2001)
Mach. Learn
, vol.42
, pp. 9-29
-
-
Meilã, M.1
Heckerman, D.2
-
12
-
-
0038119396
-
Techniques of cluster algorithms in data mining
-
Grabmeier, J. and Rudolph, A. Techniques of cluster algorithms in data mining. Data Min. Knowl. Discov., 2002, 6, 303-360.
-
(2002)
Data Min. Knowl. Discov
, vol.6
, pp. 303-360
-
-
Grabmeier, J.1
Rudolph, A.2
-
13
-
-
24044470614
-
Clustering of time series data-a survey
-
Liao, T. W. Clustering of time series data-a survey. Pattern Recognit., 2005, 38, 1857-1874.
-
(2005)
Pattern Recognit
, vol.38
, pp. 1857-1874
-
-
Liao, T.W.1
-
14
-
-
33644982700
-
A unified view on clustering binary data
-
Li, T. A unified view on clustering binary data. Mach. Learn., 2006, 62, 199-215.
-
(2006)
Mach. Learn
, vol.62
, pp. 199-215
-
-
Li, T.1
-
15
-
-
0003585297
-
-
Academic Press, San Diego, California, USA
-
Han, J. and Kamber, M. Data mining: concepts and techniques, 2001 (Academic Press, San Diego, California, USA).
-
(2001)
Data mining: Concepts and techniques
-
-
Han, J.1
Kamber, M.2
-
16
-
-
36949007037
-
-
MacQueen, J. B. Some methods for classification and analysis of multivariate observations. In Proceedings of the 5th Berkeley Symposium on Mathematical Statistics and Probability, I, Statistics, Berkeley, California, 1967, pp. 281-297 (University of California Press, Los Angeles, California, USA).
-
MacQueen, J. B. Some methods for classification and analysis of multivariate observations. In Proceedings of the 5th Berkeley Symposium on Mathematical Statistics and Probability, vol. I, Statistics, Berkeley, California, 1967, pp. 281-297 (University of California Press, Los Angeles, California, USA).
-
-
-
-
17
-
-
0004161991
-
-
Prentice Hall, Englewood Cliffs, New Jersey, USA
-
Jain, A. K. and Dubes, R. C. Algorithms for clustering data, 1988 (Prentice Hall, Englewood Cliffs, New Jersey, USA).
-
(1988)
Algorithms for clustering data
-
-
Jain, A.K.1
Dubes, R.C.2
-
18
-
-
0003430544
-
-
2nd edition, John Wiley & Sons, New Jersey, USA
-
Kaufman, L. and Rousseeuw, P. J. Finding groups in data: an introduction to cluster analysis, 2nd edition, 2005 (John Wiley & Sons, New Jersey, USA).
-
(2005)
Finding groups in data: An introduction to cluster analysis
-
-
Kaufman, L.1
Rousseeuw, P.J.2
-
19
-
-
0002629270
-
Maximum likelihood from incomplete data via the EM algorithm (with discussion)
-
Dempster, A. P., Laird, N., and Rubin, D. B. Maximum likelihood from incomplete data via the EM algorithm (with discussion). J. Roy. Stat. Soc. B, 1977, 39, 1-38.
-
(1977)
J. Roy. Stat. Soc. B
, vol.39
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.2
Rubin, D.B.3
-
20
-
-
13644262858
-
Accelerating EM clustering to find high-quality solutions
-
Ordonez, C. and Omiecinski, E. Accelerating EM clustering to find high-quality solutions. Knowl. Inf. Syst., 2005, 7, 135-157.
-
(2005)
Knowl. Inf. Syst
, vol.7
, pp. 135-157
-
-
Ordonez, C.1
Omiecinski, E.2
-
21
-
-
0003770145
-
ISODATA, a novel method of data analysis and classification
-
Technical report, AD699616, SRI, Stanford, California, USA
-
Ball, G. and Hall, D. ISODATA, a novel method of data analysis and classification. Technical report, AD699616, SRI, Stanford, California, USA, 1965.
-
(1965)
-
-
Ball, G.1
Hall, D.2
-
23
-
-
38049103082
-
A near-optimal seed value selection in k-means algorithm using a genetic algorithm
-
Babu, G. P. and Murty, M. N. A near-optimal seed value selection in k-means algorithm using a genetic algorithm. Pattern Recognit. Lett., 1993, 14(10), 763-169.
-
(1993)
Pattern Recognit. Lett
, vol.14
, Issue.10
, pp. 763-169
-
-
Babu, G.P.1
Murty, M.N.2
-
24
-
-
0032665804
-
Genetic k-means algorithm
-
Krishna, K. and Murty, M. N. Genetic k-means algorithm. IEEE Trans. Syst. Man Cybern. B, 1999, 29(3), 433-439.
-
(1999)
IEEE Trans. Syst. Man Cybern. B
, vol.29
, Issue.3
, pp. 433-439
-
-
Krishna, K.1
Murty, M.N.2
-
25
-
-
19644383468
-
Generalized k-harmonic means - dynamic weighting of data in unsupervised learning
-
Chicago, Illinois, USA, 5-7 April, available from
-
Zhang, B. Generalized k-harmonic means - dynamic weighting of data in unsupervised learning. In Proceedings of the 1st SLAM International Conference on Data mining (SDM-01), Chicago, Illinois, USA, 5-7 April 2001, available from http://www.siam.org/meetings/sdm01/ pdf/sdm01_06.pdf
-
(2001)
Proceedings of the 1st SLAM International Conference on Data mining (SDM-01)
-
-
Zhang, B.1
-
26
-
-
0041328214
-
k*-means: A new generalized k-means clustering algorithm
-
Cheung, Y.-M. k*-means: a new generalized k-means clustering algorithm. Pattern Recognit. Lett., 2003, 24, 2883-2893.
-
(2003)
Pattern Recognit. Lett
, vol.24
, pp. 2883-2893
-
-
Cheung, Y.-M.1
-
27
-
-
28844467995
-
Application of ant k-means on clustering analysis
-
Kuo, R. J., Wang, H. S., Hu, T.-L., and Chou, S. H. Application of ant k-means on clustering analysis. Comput. Math. Appl., 2005, 50, 1709-1724.
-
(2005)
Comput. Math. Appl
, vol.50
, pp. 1709-1724
-
-
Kuo, R.J.1
Wang, H.S.2
Hu, T.-L.3
Chou, S.H.4
-
28
-
-
36949039266
-
-
Al-Daoud, M. B., Venkateswarlu, N. B., and Roberts, S. A. Fast k-means clustering algorithms. Technical report, 95.18, School of Computer Studies, University of Leeds, UK, 1995.
-
Al-Daoud, M. B., Venkateswarlu, N. B., and Roberts, S. A. Fast k-means clustering algorithms. Technical report, 95.18, School of Computer Studies, University of Leeds, UK, 1995.
-
-
-
-
29
-
-
85153959666
-
Convergence properties of the k-means algorithm
-
Bottou, L. and Benglo, Y. Convergence properties of the k-means algorithm. Adv. Neural Inf. Process. Syst., 1995, 7, 585-592.
-
(1995)
Adv. Neural Inf. Process. Syst
, vol.7
, pp. 585-592
-
-
Bottou, L.1
Benglo, Y.2
-
30
-
-
0031069945
-
The LBG-U method for vector quantization - an improvement over LBG inspired from neural networks
-
Fritzke, B. The LBG-U method for vector quantization - an improvement over LBG inspired from neural networks. Neural Process. Lett., 1997, 5(1), 35-45.
-
(1997)
Neural Process. Lett
, vol.5
, Issue.1
, pp. 35-45
-
-
Fritzke, B.1
-
31
-
-
0010223634
-
An efficient k-means clustering algorithm
-
Orlando, Florida, USA, available from
-
Alsabti, K., Ranka, S., and Singh, V. An efficient k-means clustering algorithm. In Proceedings of the 1st Workshop on High-performance Data Mining, Orlando, Florida, USA, 1998, available from ftp://ftp.cise.ufl.edu/pub/faculty/ranka
-
(1998)
Proceedings of the 1st Workshop on High-performance Data Mining
-
-
Alsabti, K.1
Ranka, S.2
Singh, V.3
-
32
-
-
0002738562
-
Accelerating exact k-means algorithms with geometric reasoning
-
San Diego, California, USA
-
Pelleg, D. and Moore, A. Accelerating exact k-means algorithms with geometric reasoning. In Proceedings of the 5th ACM International Conference of the Special Interest Group on Knowledge Discovery and Data Mining (ACM-SIGKDD-99), San Diego, California, USA, 1999, pp. 277-281.
-
(1999)
Proceedings of the 5th ACM International Conference of the Special Interest Group on Knowledge Discovery and Data Mining (ACM-SIGKDD-99)
, pp. 277-281
-
-
Pelleg, D.1
Moore, A.2
-
33
-
-
0001820920
-
X-means: Extending k-means with efficient estimation of the number of clusters
-
Stanford, California, USA
-
Pelleg, D. and Moore, A. X-means: extending k-means with efficient estimation of the number of clusters. In Proceedings of the 7th International Conference on Machine Learning (ICML-00), Stanford, California, USA, 2000, pp. 727-734.
-
(2000)
Proceedings of the 7th International Conference on Machine Learning (ICML-00)
, pp. 727-734
-
-
Pelleg, D.1
Moore, A.2
-
34
-
-
84867815153
-
A fast and robust general purpose clustering algorithm
-
Lyon, France
-
Castro, V. E. and Yang, J. A fast and robust general purpose clustering algorithm. In Proceedings of the 4th European Workshop on Principles of Knowledge Discovery in Databases and Data Mining (PKDD-00), Lyon, France, 2000, pp. 208-218.
-
(2000)
Proceedings of the 4th European Workshop on Principles of Knowledge Discovery in Databases and Data Mining (PKDD-00)
, pp. 208-218
-
-
Castro, V.E.1
Yang, J.2
-
35
-
-
0034815902
-
The enhanced LBG algorithm
-
Patane, G. and Russo, M. The enhanced LBG algorithm. Neural Netiv., 2001, 14, 1219-1237.
-
(2001)
Neural Netiv
, vol.14
, pp. 1219-1237
-
-
Patane, G.1
Russo, M.2
-
36
-
-
0036647190
-
The efficient k-means clustering algorithm: Analysis and implementation
-
Kanungo, T., Mount, D. M., Netanyahu, N., Piatko, C., Silverman, R., and Wu, A. The efficient k-means clustering algorithm: analysis and implementation. IEEE Trans. Pattern Anal. Mach. Intell., 2002, 24(7), 881-892.
-
(2002)
IEEE Trans. Pattern Anal. Mach. Intell
, vol.24
, Issue.7
, pp. 881-892
-
-
Kanungo, T.1
Mount, D.M.2
Netanyahu, N.3
Piatko, C.4
Silverman, R.5
Wu, A.6
-
37
-
-
0030303747
-
New methods for the initialisation of clusters
-
Al-Daoud, M. B., Venkateswarlu, N. B., and Roberts, S. A. New methods for the initialisation of clusters. Pattern Recognit. Lett., 17, 1996, 451-455.
-
(1996)
Pattern Recognit. Lett
, vol.17
, pp. 451-455
-
-
Al-Daoud, M.B.1
Venkateswarlu, N.B.2
Roberts, S.A.3
-
38
-
-
0002550769
-
Refining initial points for k-means clustering
-
Madison, Wisconsin, USA, Morgan Kaufmann, San Francisco, California, USA
-
Bradley, S. and Fayyad, U. M. Refining initial points for k-means clustering. In Proceedings of the 5th International Conference on Machine Learning (ICML-98), Madison, Wisconsin, USA, 1998, pp. 91-99 (Morgan Kaufmann, San Francisco, California, USA).
-
(1998)
Proceedings of the 5th International Conference on Machine Learning (ICML-98)
, pp. 91-99
-
-
Bradley, S.1
Fayyad, U.M.2
-
39
-
-
3242783231
-
Cluster-ability detection and initial seed selection in large data sets
-
Technical report 99-6, Department of Computer Science, Rensselaer Polytechnic Institute, Troy, New York, USA
-
Epter, S., Krishnamoorthy, M., and Zaki, M. Cluster-ability detection and initial seed selection in large data sets. Technical report 99-6, Department of Computer Science, Rensselaer Polytechnic Institute, Troy, New York, USA, 1999.
-
(1999)
-
-
Epter, S.1
Krishnamoorthy, M.2
Zaki, M.3
-
40
-
-
28444472404
-
A novel algorithm for initializing clustering centers
-
Guangzhou, China
-
Yang, S.-Z. and Luo, S.-W. A novel algorithm for initializing clustering centers. In Proceedings of the 4th International Conference on Machine Learning and Cybernetics, Guangzhou, China, 2005, pp. 5579-5583.
-
(2005)
Proceedings of the 4th International Conference on Machine Learning and Cybernetics
, pp. 5579-5583
-
-
Yang, S.-Z.1
Luo, S.-W.2
-
41
-
-
3242768576
-
An incremental k-means algorithm
-
Pham, D. T., Dimov, S. S., and Nguyen, C. D. An incremental k-means algorithm. Proc. Instn Mech. Engrs, Part C: J. Mechanical Engineering Science, 2004, 218(C7), 783-795.
-
(2004)
Proc. Instn Mech. Engrs, Part C: J. Mechanical Engineering Science
, vol.218
, Issue.C7
, pp. 783-795
-
-
Pham, D.T.1
Dimov, S.S.2
Nguyen, C.D.3
-
42
-
-
27144536001
-
Extensions to the k-means algorithm for clustering large data sets with categorical values
-
Huang, Z. Extensions to the k-means algorithm for clustering large data sets with categorical values. Data Min. Knowl. Discov., 1998, 2(3), 283-304.
-
(1998)
Data Min. Knowl. Discov
, vol.2
, Issue.3
, pp. 283-304
-
-
Huang, Z.1
-
43
-
-
84953806973
-
Scaling clustering algorithms to large databases
-
New York, USA, AAAI Press, Menlo Park, California, USA
-
Bradley, P. S., Fayyad, U. M., and Reina, C. Scaling clustering algorithms to large databases. In Proceedings of the 4th International Conference on Knowledge Discovery and Data Mining (KDD-98), New York, USA, 1998, pp. 9-15 (AAAI Press, Menlo Park, California, USA).
-
(1998)
Proceedings of the 4th International Conference on Knowledge Discovery and Data Mining (KDD-98)
, pp. 9-15
-
-
Bradley, P.S.1
Fayyad, U.M.2
Reina, C.3
-
44
-
-
0002679222
-
-
Newsletter of the ACM Special Interest Group on Knowledge Discovery and Data Mining
-
Farnstrom, F., Lewis, J., and Elkan, C. Scalability for clustering algorithms revisited. SIGKDD Explorations, Newsletter of the ACM Special Interest Group on Knowledge Discovery and Data Mining, 2000, 2(1), 51-57.
-
(2000)
Scalability for clustering algorithms revisited. SIGKDD Explorations
, vol.2
, Issue.1
, pp. 51-57
-
-
Farnstrom, F.1
Lewis, J.2
Elkan, C.3
-
45
-
-
8744234867
-
A two-phase k-means algorithm for large datasets
-
Pham, D. T., Dimov, S. S., and Nguyen, C. D. A two-phase k-means algorithm for large datasets. Proc. Instn Mech. Engrs, Part C: J. Mechanical Engineering Science, 2004, 218(C10), 1269-1273.
-
(2004)
Proc. Instn Mech. Engrs, Part C: J. Mechanical Engineering Science
, vol.218
, Issue.C10
, pp. 1269-1273
-
-
Pham, D.T.1
Dimov, S.S.2
Nguyen, C.D.3
-
46
-
-
33749553846
-
A combined k-means and hierarchical clustering method for improving the clustering efficiency of microarray
-
Hong Kong, China
-
Chen, T.-S., Tsai, T.-H., Chen, Y.-T., Lin, C.-C, Chen, R.-C, Li, S.-Y., and Chen, H.-Y. A combined k-means and hierarchical clustering method for improving the clustering efficiency of microarray. In Proceedings of the 2005 International Symposium on Intelligent Signal Processing and Communication Systems, Hong Kong, China, 2005, pp. 405-408.
-
(2005)
Proceedings of the 2005 International Symposium on Intelligent Signal Processing and Communication Systems
, pp. 405-408
-
-
Chen, T.-S.1
Tsai, T.-H.2
Chen, Y.-T.3
Lin, C.-C.4
Chen, R.-C.5
Li, S.-Y.6
Chen, H.-Y.7
-
47
-
-
21444455416
-
Improvement and parallelism of k-means clustering algorithm
-
Jinlan, T., Lin, Z., Suqin, Z., and Lu, L. Improvement and parallelism of k-means clustering algorithm. Tsinghua Sci. Technol., 2005, 10(3), 277-281.
-
(2005)
Tsinghua Sci. Technol
, vol.10
, Issue.3
, pp. 277-281
-
-
Jinlan, T.1
Lin, Z.2
Suqin, Z.3
Lu, L.4
-
48
-
-
0003136237
-
Efficient and effective clustering methods for spatial data mining
-
Santiago, Chile
-
Ng, R. T. and Han, J. Efficient and effective clustering methods for spatial data mining. In Proceedings of the 20th International Conference on Very Large Databases, Santiago, Chile, 1994, pp. 145-155.
-
(1994)
Proceedings of the 20th International Conference on Very Large Databases
, pp. 145-155
-
-
Ng, R.T.1
Han, J.2
-
49
-
-
84957712272
-
Knowledge discovery in large spatial databases: Focusing techniques for efficient class identification
-
Portland, Maine, USA
-
Ester, M., Kriegel, H.-P., and Xu, X. W. Knowledge discovery in large spatial databases: focusing techniques for efficient class identification. In Proceedings of the 4th International Symposium on Large Spatial Databases, Portland, Maine, USA, 1995, pp. 67-82.
-
(1995)
Proceedings of the 4th International Symposium on Large Spatial Databases
, pp. 67-82
-
-
Ester, M.1
Kriegel, H.-P.2
Xu, X.W.3
-
51
-
-
0003707174
-
Scaling EM (expectation maximisation) clustering to large databases
-
MSR-TR-98-35, Redmond, Washington, USA
-
Bradley, P., Fayyad, U., and Reina, C. Scaling EM (expectation maximisation) clustering to large databases. Microsoft Research Technical Report, MSR-TR-98-35, Redmond, Washington, USA, 1998.
-
(1998)
Microsoft Research Technical Report
-
-
Bradley, P.1
Fayyad, U.2
Reina, C.3
-
53
-
-
21944442892
-
BIRCH: A new data clustering algorithm and its applications
-
Zhang, T., Ramakrishnan, R., and Livny, M. BIRCH: a new data clustering algorithm and its applications. Int. J. Data Min. Knowl. Discov., 1997, 1(2), 141-182.
-
(1997)
Int. J. Data Min. Knowl. Discov
, vol.1
, Issue.2
, pp. 141-182
-
-
Zhang, T.1
Ramakrishnan, R.2
Livny, M.3
-
54
-
-
0032091595
-
CURE: An efficient clustering algorithm for large databases
-
Seattle, Washington, USA
-
Guha, S., Rastogi, R., and Shim, K. CURE: an efficient clustering algorithm for large databases. In Proceedings of the ACM International Conference of the Special Interest Group on Management of Data (ACM-SIGMOD-98), Seattle, Washington, USA, 1998, pp. 73-84.
-
(1998)
Proceedings of the ACM International Conference of the Special Interest Group on Management of Data (ACM-SIGMOD-98)
, pp. 73-84
-
-
Guha, S.1
Rastogi, R.2
Shim, K.3
-
55
-
-
85170282443
-
A density-based algorithm for discovering clusters in large spatial databases with noise
-
Portland, Oregon, USA, AAAI Press, Menlo Park, California, USA
-
Ester, M., Kriegel, H.-P, Sander, J., and Xu, X. W. A density-based algorithm for discovering clusters in large spatial databases with noise. In Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining, Portland, Oregon, USA, 1996, pp. 226-231 (AAAI Press, Menlo Park, California, USA).
-
(1996)
Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining
, pp. 226-231
-
-
Ester, M.1
Kriegel, H.-P.2
Sander, J.3
Xu, X.W.4
-
56
-
-
0347172110
-
OPTICS: Ordering points to identify the clustering structure
-
Philadelphia, USA
-
Ankerst, M., Breunig, M., Kriegel, H.-P., and Sander, J. OPTICS: ordering points to identify the clustering structure. In Proceedings of the ACM International Conference of the Special Interest Group on Management of Data (ACM-SIGMOD-99), Philadelphia, USA, 1999, pp. 49-60.
-
(1999)
Proceedings of the ACM International Conference of the Special Interest Group on Management of Data (ACM-SIGMOD-99)
, pp. 49-60
-
-
Ankerst, M.1
Breunig, M.2
Kriegel, H.-P.3
Sander, J.4
-
57
-
-
85140527321
-
An efficient approach to clustering large multimedia databases with noise
-
New York, USA
-
Hinneburg, A. and Keim, D. An efficient approach to clustering large multimedia databases with noise. In Proceedings of the 4th International Conference on Knowledge Discovery and Data Mining, New York, USA, 1998, pp. 58-65.
-
(1998)
Proceedings of the 4th International Conference on Knowledge Discovery and Data Mining
, pp. 58-65
-
-
Hinneburg, A.1
Keim, D.2
-
58
-
-
84994158589
-
STING: A statistical information grid approach to spatial data mining
-
Athens, Greece
-
Wang, W., Yang, J., and Muntz, R. STING: a statistical information grid approach to spatial data mining. In Proceedings of the 23rd International Conference on Very Large Databases (VLDB-97), Athens, Greece, 1997, pp. 186-195.
-
(1997)
Proceedings of the 23rd International Conference on Very Large Databases (VLDB-97)
, pp. 186-195
-
-
Wang, W.1
Yang, J.2
Muntz, R.3
-
59
-
-
0003052357
-
WaveCluster: A multi-resolution clustering approach for very large spatial databases
-
NewYork, USA
-
Sheikholeslami, G., Chatterjee, S., and Zhang, A. WaveCluster: a multi-resolution clustering approach for very large spatial databases. In Proceedings of the 24th International Conference on Very Large Databases (VLDB-98), NewYork, USA, 1998, pp. 428-439.
-
(1998)
Proceedings of the 24th International Conference on Very Large Databases (VLDB-98)
, pp. 428-439
-
-
Sheikholeslami, G.1
Chatterjee, S.2
Zhang, A.3
-
60
-
-
0032090765
-
Automatic subspace clustering of high dimensional data for data mining applications
-
Seattle, Washington, USA
-
Agrawal, R., Gehrke, J., Gunopulos, D., and Raghavan, P. Automatic subspace clustering of high dimensional data for data mining applications. In Proceedings of the ACM International Conference of the Special Interest Group on Management of Data (ACM-SIGMOD-98), Seattle, Washington, USA, 1998, pp. 94-105.
-
(1998)
Proceedings of the ACM International Conference of the Special Interest Group on Management of Data (ACM-SIGMOD-98)
, pp. 94-105
-
-
Agrawal, R.1
Gehrke, J.2
Gunopulos, D.3
Raghavan, P.4
-
61
-
-
23944436897
-
Automatic subspace clustering of high dimensional data
-
Agrawal, R., Gehrke, J., Gunopulos, D., and Raghavan, P. Automatic subspace clustering of high dimensional data. Data Min. Knowl. Discov., 2005, 11, 5-33.
-
(2005)
Data Min. Knowl. Discov
, vol.11
, pp. 5-33
-
-
Agrawal, R.1
Gehrke, J.2
Gunopulos, D.3
Raghavan, P.4
-
62
-
-
0003630531
-
-
John Wiley & Sons, New York, USA
-
Höppner, F., Klawonn, F., Kruse, R., and Runkler, T. Fuzzy cluster analysis: methods for classification, data analysis and image recognition, 1999 (John Wiley & Sons, New York, USA).
-
(1999)
Fuzzy cluster analysis: Methods for classification, data analysis and image recognition
-
-
Höppner, F.1
Klawonn, F.2
Kruse, R.3
Runkler, T.4
-
63
-
-
11244353294
-
A methodology for dynamic data mining based on fuzzy clustering
-
Crespo, F. and Weber, R. A methodology for dynamic data mining based on fuzzy clustering. Fuzzy Sets Syst., 2005, 150, 267-284.
-
(2005)
Fuzzy Sets Syst
, vol.150
, pp. 267-284
-
-
Crespo, F.1
Weber, R.2
-
64
-
-
26844532803
-
A possibilistic fuzzy c-means clustering algorithm
-
Pal, N. R., Pal, K., Keller, J. M., and Bezdek, J. C. A possibilistic fuzzy c-means clustering algorithm. IEEE Trans. Fuzzy Syst., 2005, 13(4), 517-530.
-
(2005)
IEEE Trans. Fuzzy Syst
, vol.13
, Issue.4
, pp. 517-530
-
-
Pal, N.R.1
Pal, K.2
Keller, J.M.3
Bezdek, J.C.4
-
65
-
-
24344484344
-
General c-means clustering model
-
Yu, L. General c-means clustering model. IEEE Trans. Pattern Anal. Mach. Intell., 2005, 27(8), 1197-1211.
-
(2005)
IEEE Trans. Pattern Anal. Mach. Intell
, vol.27
, Issue.8
, pp. 1197-1211
-
-
Yu, L.1
-
67
-
-
0000414908
-
Applications of neural networks in manufacturing: A state-of-the-art survey
-
Zhang, H.-C. and Haung, S. H. Applications of neural networks in manufacturing: a state-of-the-art survey. Int. J. Prod. Res., 1995, 33(3), 705-728.
-
(1995)
Int. J. Prod. Res
, vol.33
, Issue.3
, pp. 705-728
-
-
Zhang, H.-C.1
Haung, S.H.2
-
68
-
-
0003488364
-
-
Springer-Verlag, London, UK
-
Pham, D. T. and Liu, X. Neural networks for identification, prediction and control, 1999 (Springer-Verlag, London, UK).
-
(1999)
Neural networks for identification, prediction and control
-
-
Pham, D.T.1
Liu, X.2
-
69
-
-
0141569723
-
AI and machine learning techniques for managing complexity, changes and uncertainties in manufacturing
-
Monostori, L. AI and machine learning techniques for managing complexity, changes and uncertainties in manufacturing. Eng. Appl. Artif. Intell., 2003, 16(3), 227-291.
-
(2003)
Eng. Appl. Artif. Intell
, vol.16
, Issue.3
, pp. 227-291
-
-
Monostori, L.1
-
70
-
-
0003410791
-
-
3rd edition, Springer-Verlag, Berlin, Germany
-
Kohonen, T. Self-organizing maps, 3rd edition, 2001 (Springer-Verlag, Berlin, Germany).
-
(2001)
Self-organizing maps
-
-
Kohonen, T.1
-
71
-
-
0003738010
-
-
MIT Press, Cambridge, Massachusetts, USA
-
Carpenter, G. A. and Grossberg, S. Pattern recognition by self-organizing neural networks, 1991 (MIT Press, Cambridge, Massachusetts, USA).
-
(1991)
Pattern recognition by self-organizing neural networks
-
-
Carpenter, G.A.1
Grossberg, S.2
-
72
-
-
0026408256
-
Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system
-
Carpenter, G. A., Grossberg, S., and Rosen, D. B. Fuzzy ART: fast stable learning and categorization of analog patterns by an adaptive resonance system. Neural Netw., 1991, 4, 759-771.
-
(1991)
Neural Netw
, vol.4
, pp. 759-771
-
-
Carpenter, G.A.1
Grossberg, S.2
Rosen, D.B.3
-
73
-
-
0003942663
-
-
Springer-Verlag, London, UK
-
Pham, D. T. and Karaboga, D. Intelligent optimisation techniques: genetic algorithms, tabu search, simulated annealing and neural networks, 2000 (Springer-Verlag, London, UK).
-
(2000)
Intelligent optimisation techniques: Genetic algorithms, tabu search, simulated annealing and neural networks
-
-
Pham, D.T.1
Karaboga, D.2
-
75
-
-
58149212260
-
A variable-length genetic algorithm for clustering and classification
-
Srikanth, R., George, R., and Warsi, N. A variable-length genetic algorithm for clustering and classification. Pattern Recognit. Lett., 1995, 16(8), 789-800.
-
(1995)
Pattern Recognit. Lett
, vol.16
, Issue.8
, pp. 789-800
-
-
Srikanth, R.1
George, R.2
Warsi, N.3
-
76
-
-
0030189865
-
In search of optimal clusters using genetic algorithms
-
Murthy, C. A. and Chowdhury, N. In search of optimal clusters using genetic algorithms. Pattern Recognit. Lett., 1996, 17(8), 825-832.
-
(1996)
Pattern Recognit. Lett
, vol.17
, Issue.8
, pp. 825-832
-
-
Murthy, C.A.1
Chowdhury, N.2
-
77
-
-
0031368243
-
Genetic algorithms for large scale clustering problems
-
Fränti, P., Kivijärvi, J., Kaukoranta, T., and Nevalainen, O. Genetic algorithms for large scale clustering problems. Computer, 1997, 40(9), 547-554.
-
(1997)
Computer
, vol.40
, Issue.9
, pp. 547-554
-
-
Fränti, P.1
Kivijärvi, J.2
Kaukoranta, T.3
Nevalainen, O.4
-
78
-
-
0032660692
-
Clustering with a genetically optimized approach
-
Hall, L. O., Ozyurt, I. B., and Bezdek, J. C. Clustering with a genetically optimized approach. IEEE Trans. Evol. Comput., 1999, 3(2), 103-112.
-
(1999)
IEEE Trans. Evol. Comput
, vol.3
, Issue.2
, pp. 103-112
-
-
Hall, L.O.1
Ozyurt, I.B.2
Bezdek, J.C.3
-
79
-
-
0034819176
-
A genetic approach to the automatic clustering problem
-
Tseng, L. Y. and Yang, S. B. A genetic approach to the automatic clustering problem. Pattern Recognit., 2001, 34(2), 415-424.
-
(2001)
Pattern Recognit
, vol.34
, Issue.2
, pp. 415-424
-
-
Tseng, L.Y.1
Yang, S.B.2
-
80
-
-
84901398044
-
A genetic rule-based data clustering toolkit
-
Honolulu, Hawaii, USA
-
Sarafis, I., Zalzala, A. M. S., and Trinder, P. W. A genetic rule-based data clustering toolkit. In Proceedings of the 2002 Congress on Evolutionary Computation, Honolulu, Hawaii, USA, 2002, pp. 1238-1243.
-
(2002)
Proceedings of the 2002 Congress on Evolutionary Computation
, pp. 1238-1243
-
-
Sarafis, I.1
Zalzala, A.M.S.2
Trinder, P.W.3
-
81
-
-
0346216900
-
A novel genetic algorithm for automatic clustering
-
Garai, G. and Chaudhuri, B. B. A novel genetic algorithm for automatic clustering. Pattern Recognit. Lett., 2004, 25(2), 173-187.
-
(2004)
Pattern Recognit. Lett
, vol.25
, Issue.2
, pp. 173-187
-
-
Garai, G.1
Chaudhuri, B.B.2
-
82
-
-
33744745603
-
An evolutionary clustering algorithm for gene expression microarray data analysis
-
Ma, P. C. H., Chan, K. C. C., Yao, X., and Chiu, D. K. Y. An evolutionary clustering algorithm for gene expression microarray data analysis. IEEE Trans. Evol. Comput., 2006, 10(3), 296-314.
-
(2006)
IEEE Trans. Evol. Comput
, vol.10
, Issue.3
, pp. 296-314
-
-
Ma, P.C.H.1
Chan, K.C.C.2
Yao, X.3
Chiu, D.K.Y.4
-
83
-
-
0032182826
-
Computational intelligence methods for process discovery
-
Cass, R. and DePietro, J. Computational intelligence methods for process discovery. Eng. Appl. Artif. Intell., 1998, 11, 675-681.
-
(1998)
Eng. Appl. Artif. Intell
, vol.11
, pp. 675-681
-
-
Cass, R.1
DePietro, J.2
-
84
-
-
0342359570
-
An application of neural networks to group technology
-
Caudell, T. P., Smith, S. D. G., and Johnson, G. C. An application of neural networks to group technology. Appl. Artif. Neural Netw., 1994, 1490, 612-621.
-
(1994)
Appl. Artif. Neural Netw
, vol.1490
, pp. 612-621
-
-
Caudell, T.P.1
Smith, S.D.G.2
Johnson, G.C.3
-
85
-
-
0031188173
-
A deployed engineering design retrieval system using neural networks
-
Smith, S. D. G., Escobedo, R., Anderson, M., and Caudell, T. P. A deployed engineering design retrieval system using neural networks. IEEE Trans. Neural Netw., 1997, 8(4), 847-851.
-
(1997)
IEEE Trans. Neural Netw
, vol.8
, Issue.4
, pp. 847-851
-
-
Smith, S.D.G.1
Escobedo, R.2
Anderson, M.3
Caudell, T.P.4
-
86
-
-
0035371343
-
Generalized part family formation through fuzzy self-organizing feature map neural network
-
Kuo, R. J., Chi, S. C., and Teng, P. W. Generalized part family formation through fuzzy self-organizing feature map neural network. Comput. Ind. Eng., 2001, 40, 79-100.
-
(2001)
Comput. Ind. Eng
, vol.40
, pp. 79-100
-
-
Kuo, R.J.1
Chi, S.C.2
Teng, P.W.3
-
87
-
-
18844418226
-
-
Tsai, C.-Y. and Chang, C. A. A two-stage fuzzy approach to feature-based design retrieval. Comput. Ind., 2005, 56(5), 493-505.
-
Tsai, C.-Y. and Chang, C. A. A two-stage fuzzy approach to feature-based design retrieval. Comput. Ind., 2005, 56(5), 493-505.
-
-
-
-
88
-
-
0028195193
-
Integration of a feature-based CAD system and an ART-1 neural model for GT coding and part family coding
-
Liao, T. W. and Lee, K. S. Integration of a feature-based CAD system and an ART-1 neural model for GT coding and part family coding. Comput. Ind. Eng., 1994, 26(1), 93-104.
-
(1994)
Comput. Ind. Eng
, vol.26
, Issue.1
, pp. 93-104
-
-
Liao, T.W.1
Lee, K.S.2
-
89
-
-
0000327693
-
Component grouping for GT applications-a fuzzy clustering approach with validity measure
-
Gindy, N. N. Z., Ratchev, T. M., and Case, K. Component grouping for GT applications-a fuzzy clustering approach with validity measure. Int. J. Prod. Res., 1995, 33(9), 2493-2509.
-
(1995)
Int. J. Prod. Res
, vol.33
, Issue.9
, pp. 2493-2509
-
-
Gindy, N.N.Z.1
Ratchev, T.M.2
Case, K.3
-
90
-
-
0031245452
-
Using ART1 neural networks with destructive solid geometry for design retrieving systems
-
Chang, C. A. and Tsai, C.-Y. Using ART1 neural networks with destructive solid geometry for design retrieving systems. Comput. Ind., 1997, 34(1), 27-41.
-
(1997)
Comput. Ind
, vol.34
, Issue.1
, pp. 27-41
-
-
Chang, C.A.1
Tsai, C.-Y.2
-
91
-
-
0032675155
-
Grouping parts based on geometrical shapes and manufacturing attributes using a neural network
-
Lee, S. Y. and Fischer, G. W. Grouping parts based on geometrical shapes and manufacturing attributes using a neural network. J. Intell. Manuf., 1999, 10, 199-209.
-
(1999)
J. Intell. Manuf
, vol.10
, pp. 199-209
-
-
Lee, S.Y.1
Fischer, G.W.2
-
92
-
-
0038341744
-
Fuzzy neural networks for intelligent design retrieval using associative manufacturing features
-
Tsai, C.-Y. and Chang, C. A. Fuzzy neural networks for intelligent design retrieval using associative manufacturing features. J. Intell. Manuf., 2003, 14, 183-195.
-
(2003)
J. Intell. Manuf
, vol.14
, pp. 183-195
-
-
Tsai, C.-Y.1
Chang, C.A.2
-
93
-
-
18844376906
-
Application of ART neural network to development of technology for functional feature-based reference design
-
Wang, C.-B., Chen, Y.-J., Chen, Y.-M., and Chu, H.-C. Application of ART neural network to development of technology for functional feature-based reference design. Comput. Ind., 2005, 56(5), 428-441.
-
(2005)
Comput. Ind
, vol.56
, Issue.5
, pp. 428-441
-
-
Wang, C.-B.1
Chen, Y.-J.2
Chen, Y.-M.3
Chu, H.-C.4
-
94
-
-
33644696247
-
Data mining in an engineering design environment: Or applications from graph matching
-
Romanowski, C. J., Nagi, R., and Sudit, M. Data mining in an engineering design environment: or applications from graph matching. Comput. Oper. Res., 2006, 33, 3150-3160.
-
(2006)
Comput. Oper. Res
, vol.33
, pp. 3150-3160
-
-
Romanowski, C.J.1
Nagi, R.2
Sudit, M.3
-
95
-
-
0029638546
-
Dynamic grouping of parts in flexible manufacturing system - a self-organizing neural network approach
-
Kulkarni, U. R. and Kiang, M. Y. Dynamic grouping of parts in flexible manufacturing system - a self-organizing neural network approach. Eur. J. Oper. Res., 1995, 84, 192-212.
-
(1995)
Eur. J. Oper. Res
, vol.84
, pp. 192-212
-
-
Kulkarni, U.R.1
Kiang, M.Y.2
-
96
-
-
0000317717
-
Machine-part family formation with the adaptive resonance theory paradigm
-
Dagli, C. and Huggahalli, R. Machine-part family formation with the adaptive resonance theory paradigm. Int. J. Prod. Res., 1995, 33(4), 893-913.
-
(1995)
Int. J. Prod. Res
, vol.33
, Issue.4
, pp. 893-913
-
-
Dagli, C.1
Huggahalli, R.2
-
97
-
-
0036448566
-
-
Al-Ahmari, A. M. A. A fuzzy analysis approach for part-machine grouping in cellular manufacturing systems. Integr. Manuf. Syst., 2002, 13(7), 489-497.
-
Al-Ahmari, A. M. A. A fuzzy analysis approach for part-machine grouping in cellular manufacturing systems. Integr. Manuf. Syst., 2002, 13(7), 489-497.
-
-
-
-
98
-
-
0027664644
-
An improved neural network leader algorithm for part-machine grouping in group technology
-
Kaparthi, S., Suresh, N. C., and Cerveny, R. P. An improved neural network leader algorithm for part-machine grouping in group technology. Eur. J. Oper. Res., 1993, 69, 342-356.
-
(1993)
Eur. J. Oper. Res
, vol.69
, pp. 342-356
-
-
Kaparthi, S.1
Suresh, N.C.2
Cerveny, R.P.3
-
99
-
-
0028748387
-
An unsupervised neural network approach for machine-part cell design
-
Orlando, Florida, USA
-
Malakooti, B. and Yang, Z. An unsupervised neural network approach for machine-part cell design. In Proceedings of the IEEE International Conference on Neural Network, Orlando, Florida, USA, 1994, vol. 2, pp. 665-670.
-
(1994)
Proceedings of the IEEE International Conference on Neural Network
, vol.2
, pp. 665-670
-
-
Malakooti, B.1
Yang, Z.2
-
100
-
-
84952529136
-
A variable-parameter unsupervised learning clustering neural network approach with application to machine-part group formation
-
Malakooti, B. and Yang, Z. A variable-parameter unsupervised learning clustering neural network approach with application to machine-part group formation. Int. J. Prod. Res., 1995, 33(9), 2395-2413.
-
(1995)
Int. J. Prod. Res
, vol.33
, Issue.9
, pp. 2395-2413
-
-
Malakooti, B.1
Yang, Z.2
-
101
-
-
0001703798
-
A neural network-based cell formation algorithm in cellular manufacturing
-
Chen, S.-J. and Cheng, C.-S. A neural network-based cell formation algorithm in cellular manufacturing. Int. J. Prod. Res., 1995, 33(2), 293-318.
-
(1995)
Int. J. Prod. Res
, vol.33
, Issue.2
, pp. 293-318
-
-
Chen, S.-J.1
Cheng, C.-S.2
-
102
-
-
0030126949
-
FACT: A new neural network-based clustering algorithm for group technology
-
Kamal, S. and Burke, L. I. FACT: a new neural network-based clustering algorithm for group technology. Int. J. Prod. Res., 1996, 34(4), 919-946.
-
(1996)
Int. J. Prod. Res
, vol.34
, Issue.4
, pp. 919-946
-
-
Kamal, S.1
Burke, L.I.2
-
103
-
-
0031117602
-
Application of fuzzy clustering in cellular manufacturing
-
Maznata, A. and Settineri, L. Application of fuzzy clustering in cellular manufacturing. Int. J. Prod. Res., 1997, 35(4), 1077-1094.
-
(1997)
Int. J. Prod. Res
, vol.35
, Issue.4
, pp. 1077-1094
-
-
Maznata, A.1
Settineri, L.2
-
104
-
-
0032629654
-
New fuzzy c-means and assignment techniques-based cell formation algorithm to perform part-type clusters and machine-type clusters separately
-
Susanto, S., Kennedy, R., and Price, J. New fuzzy c-means and assignment techniques-based cell formation algorithm to perform part-type clusters and machine-type clusters separately. Prod. Plan. Control, 1999, 10(4), 375-388.
-
(1999)
Prod. Plan. Control
, vol.10
, Issue.4
, pp. 375-388
-
-
Susanto, S.1
Kennedy, R.2
Price, J.3
-
105
-
-
0034668365
-
Integrated use of fuzzy c- means and fuzzy KNN for GT part family and machine cell formation
-
Josien, K. and Liao, T. W. Integrated use of fuzzy c- means and fuzzy KNN for GT part family and machine cell formation. Int. J. Prod. Res., 2000, 38(15), 3513-3536.
-
(2000)
Int. J. Prod. Res
, vol.38
, Issue.15
, pp. 3513-3536
-
-
Josien, K.1
Liao, T.W.2
-
106
-
-
0037116773
-
Simultaneous grouping of parts and machines with an integrated fuzzy clustering method
-
Josien, K. and Liao, T. W. Simultaneous grouping of parts and machines with an integrated fuzzy clustering method. Fuzzy Sets Syst., 2002, 126, 1-21.
-
(2002)
Fuzzy Sets Syst
, vol.126
, pp. 1-21
-
-
Josien, K.1
Liao, T.W.2
-
107
-
-
0037116779
-
Modified fuzzy c-means algorithm for cellular manufacturing
-
Lozano, S., Dobado, D., Larrañeta, J., and Onleva, L. Modified fuzzy c-means algorithm for cellular manufacturing. Fuzzy Sets Syst., 2002, 126, 23-32.
-
(2002)
Fuzzy Sets Syst
, vol.126
, pp. 23-32
-
-
Lozano, S.1
Dobado, D.2
Larrañeta, J.3
Onleva, L.4
-
108
-
-
0037061427
-
Cell formation with reduction in setup times
-
Ohta, H. and Nakamura, M. Cell formation with reduction in setup times. Comput. Ind. Eng., 2002, 42, 317-327.
-
(2002)
Comput. Ind. Eng
, vol.42
, pp. 317-327
-
-
Ohta, H.1
Nakamura, M.2
-
109
-
-
5144228750
-
Evolving knowledge for the solution of clustering problems in cellular manufacturing
-
Dimopoulos, C. and Mort, N. Evolving knowledge for the solution of clustering problems in cellular manufacturing. Int. J. Prod. Res., 2004, 42(19), 4119-4133.
-
(2004)
Int. J. Prod. Res
, vol.42
, Issue.19
, pp. 4119-4133
-
-
Dimopoulos, C.1
Mort, N.2
-
110
-
-
14644440747
-
GT cells design and implementation in a glass mould production system
-
Durmusoglu, M. B. and Nomak, A. GT cells design and implementation in a glass mould production system. Comput. Ind. Eng., 2005, 48, 525-536.
-
(2005)
Comput. Ind. Eng
, vol.48
, pp. 525-536
-
-
Durmusoglu, M.B.1
Nomak, A.2
-
111
-
-
0032669540
-
Sequence-dependent clustering of parts and machines: A fuzzy ART neural network approach
-
Suresh, N. C., Slomp, J., and Kaparthi, S. Sequence-dependent clustering of parts and machines: a fuzzy ART neural network approach. Int. J. Prod. Res., 1999, 37(14), 2793-2816.
-
(1999)
Int. J. Prod. Res
, vol.37
, Issue.14
, pp. 2793-2816
-
-
Suresh, N.C.1
Slomp, J.2
Kaparthi, S.3
-
112
-
-
0028374159
-
Design of line-type cellular manufacturing systems for minimum operating and material-handling costs
-
Liao, T. W. Design of line-type cellular manufacturing systems for minimum operating and material-handling costs. Int. J. Prod. Res., 1994, 32(2), 387-397.
-
(1994)
Int. J. Prod. Res
, vol.32
, Issue.2
, pp. 387-397
-
-
Liao, T.W.1
-
113
-
-
0029518558
-
Self-organizing map network as an interactive clustering tool - an application to group technology
-
Kiang, M. Y., Kulkarni, U. R., and Tam, K. Y. Self-organizing map network as an interactive clustering tool - an application to group technology. Decis. Support Syst., 1995, 15, 351-374.
-
(1995)
Decis. Support Syst
, vol.15
, pp. 351-374
-
-
Kiang, M.Y.1
Kulkarni, U.R.2
Tam, K.Y.3
-
114
-
-
0031651387
-
CASE: A clustering algorithm for cell formation with sequence data
-
Nair, G. J. and Narendran, T. T. CASE: a clustering algorithm for cell formation with sequence data. Int. J. Prod. Res., 1998, 36(1), 157-179.
-
(1998)
Int. J. Prod. Res
, vol.36
, Issue.1
, pp. 157-179
-
-
Nair, G.J.1
Narendran, T.T.2
-
115
-
-
0242301647
-
Performance of fuzzy ART neural network and hierarchical clustering of part-machine grouping based on operation sequences
-
Park, S. and Suresh, N. C. Performance of fuzzy ART neural network and hierarchical clustering of part-machine grouping based on operation sequences. Int. J. Prod. Res., 2003, 41(14), 3185-3216.
-
(2003)
Int. J. Prod. Res
, vol.41
, Issue.14
, pp. 3185-3216
-
-
Park, S.1
Suresh, N.C.2
-
116
-
-
0031167594
-
Feature recognition using ART-2: A self-organizing neural network
-
Lankalapalli, K., Chatterjee, S., and Chang, T. C. Feature recognition using ART-2: a self-organizing neural network. J. Intell. Manuf., 1997, 8, 203-214.
-
(1997)
J. Intell. Manuf
, vol.8
, pp. 203-214
-
-
Lankalapalli, K.1
Chatterjee, S.2
Chang, T.C.3
-
117
-
-
0031245685
-
Coding and clustering of design and manufacturing features for concurrent design
-
Xue, D. and Dong, Z. Coding and clustering of design and manufacturing features for concurrent design. Comput. Ind., 1997, 34, 139-153.
-
(1997)
Comput. Ind
, vol.34
, pp. 139-153
-
-
Xue, D.1
Dong, Z.2
-
118
-
-
0033078887
-
Decomposition of interacting features using a Kohonon self-organizing feature map neural network
-
Zulkifli, A. H. and Meeran, S. Decomposition of interacting features using a Kohonon self-organizing feature map neural network. Eng. Appl. Artif. Intell., 1999, 12, 59-78.
-
(1999)
Eng. Appl. Artif. Intell
, vol.12
, pp. 59-78
-
-
Zulkifli, A.H.1
Meeran, S.2
-
119
-
-
0242364651
-
A hybrid method for recognizing interacting machining features
-
Li, W. S., Ong, S. K., and Nee, A. Y. C. A hybrid method for recognizing interacting machining features. Int. J. Prod. Res., 2003, 41(9), 1887-1908.
-
(2003)
Int. J. Prod. Res
, vol.41
, Issue.9
, pp. 1887-1908
-
-
Li, W.S.1
Ong, S.K.2
Nee, A.Y.C.3
-
120
-
-
0032173121
-
Tool wear monitoring with wavelet packet transform - fuzzy clustering method
-
Xiaoli, L. and Zhejun, Y. Tool wear monitoring with wavelet packet transform - fuzzy clustering method. Wear, 1998, 219, 145-154.
-
(1998)
Wear
, vol.219
, pp. 145-154
-
-
Xiaoli, L.1
Zhejun, Y.2
-
121
-
-
0032629652
-
A neural network clustering model for miscellaneous components production planning
-
Cesarotti, V., Rossi, L., and Santoro, R. A neural network clustering model for miscellaneous components production planning. Prod. Plan. Control, 1999, 10(4), 305-316.
-
(1999)
Prod. Plan. Control
, vol.10
, Issue.4
, pp. 305-316
-
-
Cesarotti, V.1
Rossi, L.2
Santoro, R.3
-
122
-
-
0035493957
-
Knowledge discovery from process operational data using PAC and fuzzy clustering
-
Sebzalli, Y. M. and Wang, X. Z. Knowledge discovery from process operational data using PAC and fuzzy clustering. Eng. Appl. Artif. Intell., 2001, 14, 607-616.
-
(2001)
Eng. Appl. Artif. Intell
, vol.14
, pp. 607-616
-
-
Sebzalli, Y.M.1
Wang, X.Z.2
-
124
-
-
0036979446
-
-
Kundu, B., White, K. P., Jr, and Mastrangelo, C. Defect clustering and classification for semiconductor devices. In Proceedings of the 45th Midwest Symposium on Circuits and Systems, 2002, 2, pp. II-561-II-564.
-
Kundu, B., White, K. P., Jr, and Mastrangelo, C. Defect clustering and classification for semiconductor devices. In Proceedings of the 45th Midwest Symposium on Circuits and Systems, 2002, vol. 2, pp. II-561-II-564.
-
-
-
-
125
-
-
0036625547
-
Classification of turbulent flow patterns with fuzzy clustering
-
Vernet, A. and Kopp, G. A. Classification of turbulent flow patterns with fuzzy clustering. Eng. Appl. Artif. Intell., 2002, 15, 315-326.
-
(2002)
Eng. Appl. Artif. Intell
, vol.15
, pp. 315-326
-
-
Vernet, A.1
Kopp, G.A.2
-
126
-
-
26244457762
-
-
Casalino, G. and Minutolo, F. M. C. A model for evaluation of laser welding efficiency and quality using an artificial neural network and fuzzy logic. Proc. Instn Mech. Engrs, Part B: J. Engineering Manufacture, 2004, 218, 641-646.
-
Casalino, G. and Minutolo, F. M. C. A model for evaluation of laser welding efficiency and quality using an artificial neural network and fuzzy logic. Proc. Instn Mech. Engrs, Part B: J. Engineering Manufacture, 2004, 218, 641-646.
-
-
-
-
127
-
-
0031186526
-
An unsupervised learning neural algorithm for identifying process behaviour on control charts and a comparison with supervised learning approaches
-
Al-Ghanim, A. An unsupervised learning neural algorithm for identifying process behaviour on control charts and a comparison with supervised learning approaches. Comput. Ind. Eng., 1997, 32, 627-639.
-
(1997)
Comput. Ind. Eng
, vol.32
, pp. 627-639
-
-
Al-Ghanim, A.1
-
128
-
-
1242264850
-
Manufacturing quality control by means of a Fuzzy ART network trained on natural process data
-
Pacella, M., Semeraro, Q., and Anglani, A. Manufacturing quality control by means of a Fuzzy ART network trained on natural process data. Eng. Appl. Artif. Intell., 2004, 17(1), 83-96.
-
(2004)
Eng. Appl. Artif. Intell
, vol.17
, Issue.1
, pp. 83-96
-
-
Pacella, M.1
Semeraro, Q.2
Anglani, A.3
-
129
-
-
8644263044
-
Adaptive resonance theory-based neural algorithms for manufacturing process quality control
-
Pacella, M., Semeraro, Q., and Anglani, A. Adaptive resonance theory-based neural algorithms for manufacturing process quality control. Int. J. Prod. Res., 2004, 42(21), 4581-4607.
-
(2004)
Int. J. Prod. Res
, vol.42
, Issue.21
, pp. 4581-4607
-
-
Pacella, M.1
Semeraro, Q.2
Anglani, A.3
-
130
-
-
20144384127
-
Understanding ART-based neural algorithms as statistical tools for manufacturing process quality control
-
Pacella, M. and Semeraro, Q. Understanding ART-based neural algorithms as statistical tools for manufacturing process quality control. Eng. Appl. Artif. Intell., 2005, 18(6), 645-662.
-
(2005)
Eng. Appl. Artif. Intell
, vol.18
, Issue.6
, pp. 645-662
-
-
Pacella, M.1
Semeraro, Q.2
-
131
-
-
36949015676
-
Detecting cyclical disturbances in supply networks using data mining techniques
-
Birmingham, UK
-
Afify, A. A., Dimov, S., Naim, M. M., and Valeva, V. Detecting cyclical disturbances in supply networks using data mining techniques. In Proceedings of the 2nd European Conference on Management of Technology, Birmingham, UK, 2006, pp. 1-8.
-
(2006)
Proceedings of the 2nd European Conference on Management of Technology
, pp. 1-8
-
-
Afify, A.A.1
Dimov, S.2
Naim, M.M.3
Valeva, V.4
-
132
-
-
36949003589
-
Data mining: A tool for detecting cyclical disturbances in supply networks
-
press
-
Afify, A. A., Dimov, S., Naim, M. M., and Valeva, V. Data mining: a tool for detecting cyclical disturbances in supply networks. Proc. IMechE, Part B: J. Engineering Manufacture, 2007, 221, in press.
-
(2007)
Proc. IMechE, Part B: J. Engineering Manufacture
, vol.221
-
-
Afify, A.A.1
Dimov, S.2
Naim, M.M.3
Valeva, V.4
|