-
1
-
-
70350464034
-
A fast fuzzy clustering algorithm
-
February 2007, Corfu Island, Greece
-
Al-Zoubi, M.B., A. Hudaib and B. Al-Shboul, 2007. A fast fuzzy clustering algorithm. Proceedings of the 6th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases, February 2007, Corfu Island, Greece, pp: 28-32
-
(2007)
Proceedings of the 6th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases
, pp. 28-32
-
-
Al-Zoubi, M.B.1
Hudaib, A.2
Al-Shboul, B.3
-
2
-
-
84964752642
-
-
MET Press, Cambridge, MA
-
Alexander, R. and A. Caponnetto, 2007. Stability of K-Means Clustering, Advances in Neural Information Processing Systems 12. MET Press, Cambridge, MA, pp: 216-222
-
(2007)
Stability of K-Means Clustering, Advances in Neural Information Processing Systems
, vol.12
, pp. 216-222
-
-
Alexander, R.1
Caponnetto, A.2
-
5
-
-
77952522978
-
Performance analysis of AIM-K-Means and K-Means in quality cluster generation
-
Borah, S. and M.K. Ghose, 2009. Performance analysis of AIM-K-Means and K-Means in quality cluster generation. J. Comput., 1: 175-178
-
(2009)
J. Comput.
, vol.1
, pp. 175-178
-
-
Borah, S.1
Ghose, M.K.2
-
6
-
-
0002550769
-
Refining initial points for K-means clustering
-
July 24-27, Morgan Kaufmann, San Francisco
-
Bradley, P.S. and U.M. Fayyad, 1998. Refining initial points for K-means clustering. Proceedings of the 15th International Conference on Machine Learning, July 24-27, Morgan Kaufmann, San Francisco, pp: 91-99
-
(1998)
Proceedings of the 15th International Conference on Machine Learning
, pp. 91-99
-
-
Bradley, P.S.1
Fayyad, U.M.2
-
8
-
-
32444442667
-
-
Technical Report TR-04-25, UTCS Technical Report
-
Dhillon, I, Y. Guan and B. Kulis, 2005. A unified view of kernel k-means, spectral clustering and graph partitioning. Technical Report TR-04-25, UTCS Technical Report
-
(2005)
A Unified View of Kernel K-means, Spectral Clustering and Graph Partitioning
-
-
Dhillon, I.1
Guan, Y.2
Kulis, B.3
-
10
-
-
0003585297
-
-
2nd Edn., Morgan Kaufmann Publisher, San Fransisco, USA., ISBN: 1-55860-901-6
-
Han, J. and M. Kamber, 2006. Data Mining: Concepts and Techniques. 2nd Edn., Morgan Kaufmann Publisher, San Fransisco, USA., ISBN: 1-55860-901-6
-
(2006)
Data Mining: Concepts and Techniques
-
-
Han, J.1
Kamber, M.2
-
11
-
-
0004161991
-
-
Prentice Hall Inc., Englewood Cliffs, New Jerssy, ISBN: 0-13-022278-X
-
Jain, A.K. and R.C. Dubes, 1988. Algorithms for Clustering Data. Prentice Hall Inc., Englewood Cliffs, New Jerssy, ISBN: 0-13-022278-X
-
(1988)
Algorithms for Clustering Data
-
-
Jain, A.K.1
Dubes, R.C.2
-
13
-
-
78651363909
-
-
July 14, 2003
-
Kanungo, T., D.M. Mount, N.S. Netanyahu, CD. Piatko, R. Silverman and A.Y. Wu, 2003. A local search approximation algorithm for k-means clustering. July 14, 2003. http://www.cs.umd.edu/~mount/Projects/KMeans/kmlocal-cgta.pdf
-
(2003)
A Local Search Approximation Algorithm for K-means Clustering
-
-
Kanungo, T.1
Mount, D.M.2
Netanyahu, N.S.3
Piatko, C.D.4
Silverman, R.5
Wu, A.Y.6
-
15
-
-
23844528211
-
Cluster center initialization algorithm for K-Means clustering
-
Khan, S.S. and A. Ahmad, 2004. Cluster center initialization algorithm for K-Means clustering. Pattern Recognition Lett, 25: 1293-1302
-
(2004)
Pattern Recognition Lett
, vol.25
, pp. 1293-1302
-
-
Khan, S.S.1
Ahmad, A.2
-
16
-
-
77952487871
-
-
Department of Industrial and Management Engineering, POSTECH, South Korea
-
Park, H.S., J.S. Lee and C.H. Jun, 2009. A K-Means-Like Algorithm for K-Medoids Clustering and Its Performance. Department of Industrial and Management Engineering, POSTECH, South Korea
-
(2009)
A K-Means-Like Algorithm for K-Medoids Clustering and Its Performance
-
-
Park, H.S.1
Lee, J.S.2
Jun, C.H.3
-
17
-
-
33750304825
-
A genetic k-medoids clustering algorithm
-
Sheng, W. and X. Liu, 2006. A genetic k-medoids clustering algorithm. J. Heuristics, 12: 447-466
-
(2006)
J. Heuristics
, vol.12
, pp. 447-466
-
-
Sheng, W.1
Liu, X.2
-
18
-
-
78651371672
-
Performance analysis of k-means and k-medoids clustering algorithms for a randomly generated data set
-
Jan. 08, Hyderabad, India
-
Velmurugan, T. and T. Santhanam, 2008. Performance analysis of k-means and k-medoids clustering algorithms for a randomly generated data set. Proceedings of the International Conference on Systemics, Cybernetics and Informatics, Jan. 08, Hyderabad, India, pp: 578-583
-
(2008)
Proceedings of the International Conference on Systemics, Cybernetics and Informatics
, pp. 578-583
-
-
Velmurugan, T.1
Santhanam, T.2
-
19
-
-
78651366492
-
Clustering of random data points using K-Means and fuzzy-c means clustering algorithms
-
Jan 09, Virudhunagar, India
-
Velmurugan, T. and T. Santhanam, 2009a. Clustering of random data points using K-Means and fuzzy-c means clustering algorithms. Proceedings of the IEEE International Conference on Emerging Trends in Computing, Jan. 09, Virudhunagar, India, pp: 177-180
-
(2009)
Proceedings of the IEEE International Conference on Emerging Trends in Computing
, pp. 177-180
-
-
Velmurugan, T.1
Santhanam, T.2
-
20
-
-
78651372350
-
A practical approach of k-medoids clustering algorithm for artificial data points
-
Nov. 09, Trichirappalli, India
-
Velmurugan, T. and T. Santhanam, 2009b. A practical approach of k-medoids clustering algorithm for artificial data points. Proceedings of the International Conference on Semantics, E-business and E-Commerce, Nov. 09, Trichirappalli, India, pp: 45-50
-
(2009)
Proceedings of the International Conference on Semantics, E-business and E-Commerce
, pp. 45-50
-
-
Velmurugan, T.1
Santhanam, T.2
-
21
-
-
77952524606
-
Computational complexity between K-means and K-medoids clustering algorithms for normal and uniform distributions of data points
-
Velmurugan, T. and T. Santhanam, 2010a. Computational complexity between K-means and K-medoids clustering algorithms for normal and uniform distributions of data points. J. Comput. Sci., 6: 363-368
-
(2010)
J. Comput. Sci.
, vol.6
, pp. 363-368
-
-
Velmurugan, T.1
Santhanam, T.2
-
22
-
-
78651358140
-
Performance evaluation of k-means and fuzzy c-means clustering algorithms for statistical distributions of input data points
-
Velmurugan, T. and T. Santhanam, 2010b. Performance evaluation of k-means and fuzzy c-means clustering algorithms for statistical distributions of input data points. Eur. J. Sci. Res., Vol. 46, No. 3
-
(2010)
Eur. J. Sci. Res.
, vol.46
, Issue.3
-
-
Velmurugan, T.1
Santhanam, T.2
-
23
-
-
33749563831
-
K-means clustering versus validation measures: A data distribution perspective
-
USA
-
Xiong, H., J. Wu and J. Chen, 2006. K-means clustering versus validation measures: A data distribution perspective. Proceedings of the 12th ACM SIGKDD International Conference Knowledge Discovery and Data Mining, (KDDM'06), USA., pp: 779-878
-
(2006)
Proceedings of the 12th ACM SIGKDD International Conference Knowledge Discovery and Data Mining, (KDDM'06)
, pp. 779-878
-
-
Xiong, H.1
Wu, J.2
Chen, J.3
-
24
-
-
43149092856
-
A novel fuzzy c-means clustering algorithm for image thresholding
-
Yong, Y., Z. Chongxun and L. Pan, 2004. A novel fuzzy c-means clustering algorithm for image thresholding. Measurement Sci. Rev., 4: 9-9
-
(2004)
Measurement Sci. Rev.
, vol.4
, pp. 9-9
-
-
Yong, Y.1
Chongxun, Z.2
Pan, L.3
-
25
-
-
12744254229
-
K-medoid-style clustering algorithms for supervised summary generation
-
Zeidat, N. and C.F. Eick, 2004. K-medoid-style clustering algorithms for supervised summary generation. Proceedings of the International Conference on Machine Learning. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.128. 9219&rep=repl&type=pdf.
-
(2004)
Proceedings of the International Conference on Machine Learning
-
-
Zeidat, N.1
Eick, C.F.2
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