-
2
-
-
0035789293
-
Probabilistic modeling of transactional data with applications to profiling, visualization and prediction, sigmod
-
San Francisco: ACM Press
-
Cades I, Smyth P, Mannila H. Probabilistic modeling of transactional data with applications to profiling, visualization and prediction, sigmod. In: Proc. of the 7th ACM SIGKDD. San Francisco: ACM Press, 2001. 37-46. http://www.sigkdd.org/kdd2001/.
-
(2001)
Proc. of the 7th ACM SIGKDD
, pp. 37-46
-
-
Cades, I.1
Smyth, P.2
Mannila, H.3
-
3
-
-
84893405732
-
Data clustering: A review
-
Jain AK, Murty MN, Flynn PJ. Data clustering: A review. ACM Computing Surveys, 1999, 31(3): 264-323.
-
(1999)
ACM Computing Surveys
, vol.31
, Issue.3
, pp. 264-323
-
-
Jain, A.K.1
Murty, M.N.2
Flynn, P.J.3
-
4
-
-
34250173088
-
Investigating diversity of clustering methods: An empirical comparison
-
Gelbard R, Goldman O, Spiegler I. Investigating diversity of clustering methods: An empirical comparison. Data and Knowledge Engineering, 2007, 63(1): 155-166.
-
(2007)
Data and Knowledge Engineering
, vol.63
, Issue.1
, pp. 155-166
-
-
Gelbard, R.1
Goldman, O.2
Spiegler, I.3
-
6
-
-
0033640646
-
Statistical pattern recognition: A review
-
Jain AK, Duin RPW, Mao JC. Statistical pattern recognition: A review. IEEE Trans. on Pattern Analysis and Machine Intelligence, 2000, 22(1): 4-37.
-
(2000)
IEEE Trans. on Pattern Analysis and Machine Intelligence
, vol.22
, Issue.1
, pp. 4-37
-
-
Jain, A.K.1
Duin, R.P.W.2
Mao, J.C.3
-
8
-
-
6344227435
-
-
Marques J.P.(ed.), Wu Y.F.(transl.), 2nd ed., Beijing'. Tsinghua University Press, in Chinese
-
Marques JP, Written; Wu YF, Trans. Pattern Recognition Concepts, Methods and Applications. 2nd ed., Beijing'. Tsinghua University Press, 2002. 51-74 (in Chinese).
-
(2002)
Pattern Recognition Concepts, Methods and Applications
, pp. 51-74
-
-
-
9
-
-
84877765730
-
Partitional vs hierarchical clustering using a minimum grammar complexity approach
-
LNCS 1876
-
Fred ALN, Leitao JMN. Partitional vs hierarchical clustering using a minimum grammar complexity approach. In: Proc. of the SSPR and SPR 2000. LNCS 1876. 2000. 193-202. http://www.sigmod.org/dblp/db/conf/sspr/sspr2000.html.
-
(2000)
Proc. of the SSPR and SPR 2000
, pp. 193-202
-
-
Fred, A.L.N.1
Leitao, J.M.N.2
-
10
-
-
0034056621
-
Hempel's raven paradox: A positive approach to cluster analysis
-
Gelbard R, Spiegler I. Hempel's raven paradox: A positive approach to cluster analysis. Computers and Operations Research, 2000, 27(4): 305-320.
-
(2000)
Computers and Operations Research
, vol.27
, Issue.4
, pp. 305-320
-
-
Gelbard, R.1
Spiegler, I.2
-
11
-
-
38149043723
-
Properties of binary vector dissimilarity measures
-
Zhang B, Srihari SN. Properties of binary vector dissimilarity measures, In: Proc. of the JCIS CVPRIP 2003. 2003. 26-30. http://www.ee.duke.edu/JCIS/.
-
(2003)
Proc. of the JCIS CVPRIP 2003
, pp. 26-30
-
-
Zhang, B.1
Srihari, S.N.2
-
12
-
-
34447299135
-
Rough clustering of sequential data
-
Kumar P, Krishna PR, Bapi RS, De SK. Rough clustering of sequential data. Data and Knowledge Engineering, 2007, 3(2): 183-199.
-
(2007)
Data and Knowledge Engineering
, vol.3
, Issue.2
, pp. 183-199
-
-
Kumar, P.1
Krishna, P.R.2
Bapi, R.S.3
De, S.K.4
-
13
-
-
0010486274
-
A fast clustering algorithm to cluster very large categorical data sets in data mining
-
Tucson
-
Huang Z. A fast clustering algorithm to cluster very large categorical data sets in data mining. In: Proc. of the SIGMOD Workshop on Research Issues on Data Mining and Knowledge Discovery. Tucson, 1997. 146-151. http://www.informatik.uni-trier.de/-ley/db/conf/sigmod/.sigmod97.html.
-
(1997)
Proc. of the SIGMOD Workshop on Research Issues on Data Mining and Knowledge Discovery
, pp. 146-151
-
-
Huang, Z.1
-
14
-
-
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 Mining and Knowledge, Discovery II, 1998, (2): 283-304.
-
(1998)
Data Mining and Knowledge, Discovery II
, Issue.2
, pp. 283-304
-
-
Huang, Z.1
-
15
-
-
0032595161
-
Fuzzy k-modes algorithm for clustering categorical data
-
Huang Z, Ng MA. Fuzzy k-modes algorithm for clustering categorical data. IEEE Trans. on Fuzzy Systems, 1999, 7(4): 446-452.
-
(1999)
IEEE Trans. on Fuzzy Systems
, vol.7
, Issue.4
, pp. 446-452
-
-
Huang, Z.1
Ng, M.A.2
-
16
-
-
0035534111
-
K-modes clustering
-
Chaturvedi AD, Green PE, Carroll JD. K-modes clustering. Journal of Classification, 2001, 18(1): 35-56.
-
(2001)
Journal of Classification
, vol.18
, Issue.1
, pp. 35-56
-
-
Chaturvedi, A.D.1
Green, P.E.2
Carroll, J.D.3
-
17
-
-
85041975304
-
Exploratory latent structure analysis using both identifiable and unidentifiable models
-
Goodman LA. Exploratory latent structure analysis using both identifiable and unidentifiable models. Biometrika, 1974, 61(2): 215-231.
-
(1974)
Biometrika
, vol.61
, Issue.2
, pp. 215-231
-
-
Goodman, L.A.1
-
19
-
-
0036567251
-
An iterative initial-points refinement algorithm for categorical data clustering
-
Sun Y, Zhu QM, Chen ZX. An iterative initial-points refinement algorithm for categorical data clustering. Pattern Recognition Letters, 2002, 23(7): 875-884.
-
(2002)
Pattern Recognition Letters
, vol.23
, Issue.7
, pp. 875-884
-
-
Sun, Y.1
Zhu, Q.M.2
Chen, Z.X.3
-
20
-
-
0002550769
-
Refining initial points for k-means clustering
-
San Francisco: Morgan Kaufmann Publishers
-
Bradley PS, Fayyad DM. Refining initial points for k-means clustering. In: Proc. of the 15th Internet Conf. on Machine Learning. San Francisco: Morgan Kaufmann Publishers, 1998. 91-99. http://www.cs.wisc.edu/icm198/.
-
(1998)
Proc. of the 15th Internet Conf. on Machine Learning
, pp. 91-99
-
-
Bradley, P.S.1
Fayyad, D.M.2
-
21
-
-
39749150275
-
-
http://www.ics.uci.edu/-mlearn/databases/.
-
-
-
-
22
-
-
2442514312
-
K-Nearest-Neighbor in data clustering: Incorporating local information into global optimization
-
Nicosia: ACM Press
-
Ding C, He X. K-Nearest-Neighbor in data clustering: Incorporating local information into global optimization, in: Proc. of the ACM Symp. on Applied Computing. Nicosia: ACM Press, 2004. 584-589. http://www.acm.org/conferences/sac/sac2004/.
-
(2004)
Proc. of the ACM Symp. on Applied Computing
, pp. 584-589
-
-
Ding, C.1
He, X.2
-
23
-
-
0033705385
-
Feature-Based fuzzy classification for interpretation of mammograms
-
Lyer NS, Kandel A, Schneider M. Feature-Based fuzzy classification for interpretation of mammograms. Fuzzy Sets System, 2000, 114(2): 271-280.
-
(2000)
Fuzzy Sets System
, vol.114
, Issue.2
, pp. 271-280
-
-
Lyer, N.S.1
Kandel, A.2
Schneider, M.3
-
24
-
-
0036107314
-
Segmen nation techniques for tissue differentiation in MRI of ophthalmology using fuzzy clustering algorithm
-
Yang MS, Hu YJ, Lin KCR, Lin CCL. Segmen nation techniques for tissue differentiation in MRI of ophthalmology using fuzzy clustering algorithm. Journal of Magnetic Resonance Imaging, 2002, (20): 173-179.
-
(2002)
Journal of Magnetic Resonance Imaging
, Issue.20
, pp. 173-179
-
-
Yang, M.S.1
Hu, Y.J.2
Lin, K.C.R.3
Lin, C.C.L.4
-
25
-
-
33646352233
-
A new feature weighted fuzzy clustering algorithm
-
in Chinese
-
Li J, Gao XB, Jiao LC. A new feature weighted fuzzy clustering algorithm. ACTA Electronics Sinica, 2006, 34(1): 412-420 (in Chinese with English abstract).
-
(2006)
ACTA Electronics Sinica
, vol.34
, Issue.1
, pp. 412-420
-
-
Li, J.1
Gao, X.B.2
Jiao, L.C.3
-
27
-
-
33750512945
-
Fast and robust fuzzy c-means clustering algorithms incorporating locat information for image segmentation
-
Cai WL, Chen SC, Zhang DQ. Fast and robust fuzzy c-means clustering algorithms incorporating locat information for image segmentation. Pattern Recognition, 2007, 40(3): 825-833.
-
(2007)
Pattern Recognition
, vol.40
, Issue.3
, pp. 825-833
-
-
Cai, W.L.1
Chen, S.C.2
Zhang, D.Q.3
-
29
-
-
0032686723
-
CHANELEON: A hierarchical clustering algorithm using dynamic modeling
-
Karypis G, Han EH, Kumar V. CHANELEON: A hierarchical clustering algorithm using dynamic modeling. IEEE Computer, 1999, 2(8): 68-75.
-
(1999)
IEEE Computer
, vol.2
, Issue.8
, pp. 68-75
-
-
Karypis, G.1
Han, E.H.2
Kumar, V.3
-
30
-
-
4143100697
-
AUTOCLUST: Automatic clustering via boundary extraction for mining massive point-data sets
-
Abrahart J. and Carlisle B.H.(ed.)
-
Estivill-Castro V, Lee I. AUTOCLUST: Automatic clustering via boundary extraction for mining massive point-data sets. In: Abrahart J, Carlisle BH, eds. Proc. of the 5th Int'l Conf. on Geocomputation. 2000. 23-25. http://www.geocomputation.org/2000/index.html.
-
(2000)
Proc. of the 5th Int'l Conf. on Geocomputation
, pp. 23-25
-
-
Estivill-Castro, V.1
Lee, I.2
-
31
-
-
33846286029
-
A clustering algorithm based on maximal θ-distant subtrees
-
Li YJ. A clustering algorithm based on maximal θ-distant subtrees. Pattern Recognition, 2007, 40(5): 1425-1431.
-
(2007)
Pattern Recognition
, vol.40
, Issue.5
, pp. 1425-1431
-
-
Li, Y.J.1
-
32
-
-
84964458218
-
GDILC: A grid-based density isoline clustering algorithm
-
Zhong Y.X., Cui S. and Yang Y.(ed.), Beijing: IEEE Press
-
Zhao YC, Song J. GDILC: A grid-based density isoline clustering algorithm. In: Zhong YX, Cui S, Yang Y, eds. Proc. of the Internet Conf. on Info-Net. Beijing: IEEE Press, 2001. 140-145. http://ieeexplore.ieee.org/iel5/7719/21161/00982709.pdf.
-
(2001)
Proc. of the Internet Conf. on Info-Net
, pp. 140-145
-
-
Zhao, Y.C.1
Song, J.2
-
33
-
-
0346216908
-
A new shifting grid clustering algorithm
-
Ma WM, Chow E, Tommy WS. A new shifting grid clustering algorithm. Pattern Recognition, 2004, 37(3): 503-514.
-
(2004)
Pattern Recognition
, vol.37
, Issue.3
, pp. 503-514
-
-
Ma, W.M.1
Chow, E.2
Tommy, W.S.3
-
34
-
-
17444370952
-
GCHL: A grid-clustering algorithm for high-dimensional very large spatial data bases
-
Pilevar AH, Sukumar M. GCHL: A grid-clustering algorithm for high-dimensional very large spatial data bases. Pattern Recognition Letters, 2005, 26(7): 999-1010.
-
(2005)
Pattern Recognition Letters
, vol.26
, Issue.7
, pp. 999-1010
-
-
Pilevar, A.H.1
Sukumar, M.2
-
36
-
-
33846024749
-
ST-DBSCAN: An algorithm for clustering spatial-temp oral data
-
Birant D, Kut A. ST-DBSCAN: An algorithm for clustering spatial-temp oral data. Data and Knowledge Engineering, 2007, 60(1): 208-221.
-
(2007)
Data and Knowledge Engineering
, vol.60
, Issue.1
, pp. 208-221
-
-
Birant, D.1
Kut, A.2
-
37
-
-
3042775559
-
ACODF: A novel data clustering approach for data mining in large databases
-
Tsai CF, Tsai CW, Wu HC, Yang T. ACODF: A novel data clustering approach for data mining in large databases. Journal of Systems and Software, 2004, 73(1): 133-145.
-
(2004)
Journal of Systems and Software
, vol.73
, Issue.1
, pp. 133-145
-
-
Tsai, C.F.1
Tsai, C.W.2
Wu, H.C.3
Yang, T.4
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