-
1
-
-
84893405732
-
Data clustering: A review
-
A.K. Jain, M.N. Murty et al., "Data clustering: a review", ACM Computing Surveys, Vol.31, No.3, pp.264-323, 1999.
-
(1999)
ACM Computing Surveys
, vol.31
, Issue.3
, pp. 264-323
-
-
Jain, A.K.1
Murty, M.N.2
-
2
-
-
59049106528
-
An optimal spectral clustering approach based on Cauchy-Schwarz divergence
-
Haixia Xu, Zheng Tian, "An optimal spectral clustering approach based on Cauchy-Schwarz divergence", Chinese Journal of Electronics, Vol.18, No.1, pp.105-108, 2009.
-
(2009)
Chinese Journal of Electronics
, vol.18
, Issue.1
, pp. 105-108
-
-
Xu, H.1
Tian, Z.2
-
4
-
-
79960790725
-
Multi-agent reinforcement learning based on K-means algorithm
-
L. Changan, L. Fei, L. Chunyang and W. Hua, "Multi-agent reinforcement learning based on K-means algorithm", Chinese Journal of Electronics, Vol.20, No.3, pp.414-418, 2011.
-
(2011)
Chinese Journal of Electronics
, vol.20
, Issue.3
, pp. 414-418
-
-
Changan, L.1
Fei, L.2
Chunyang, L.3
Hua, W.4
-
5
-
-
27144536001
-
Extensions to the k-means algorithm for clustering large data sets with categorical values
-
Zhexue Huang, "Extensions to the k-means algorithm for clustering large data sets with categorical values", Data Mining and Knowledge Discovery, Vol.2, No.3, pp.283-304, 1998.
-
(1998)
Data Mining and Knowledge Discovery
, vol.2
, Issue.3
, pp. 283-304
-
-
Huang, Z.1
-
6
-
-
33847349252
-
On the impact of dissimilarity measure in k-modes clustering algorithm
-
Michael K. Ng, Mark Junjie Li et al., "On the impact of dissimilarity measure in k-modes clustering algorithm", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.29, No.3, pp.503-507, 2007.
-
(2007)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.29
, Issue.3
, pp. 503-507
-
-
Ng, M.K.1
Li, M.J.2
-
7
-
-
33646832221
-
Improving k-modes algorithm considering frequencies of attribute values in mode
-
Z. He, S. Deng and X. Xu, "Improving k-modes algorithm considering frequencies of attribute values in mode", Proc. Int'l Conf. Computational Intelligence and Security, pp. 157-162, 2005.
-
(2005)
Proc. Int'l Conf. Computational Intelligence and Security,.
, pp. 157-162
-
-
He, Z.1
Deng, S.2
Xu, X.3
-
8
-
-
33744768841
-
An alternative extension of the k-means algorithm for clustering categorical data
-
O. San, V. Huynh and Y. Nakamori, "An alternative extension of the k-means algorithm for clustering categorical data", Int'l J. Applied Math, and Computer Science, Vol.14, No.2, pp.241-247, 2004.
-
(2004)
Int'l J. Applied Math, and Computer Science
, vol.14
, Issue.2
, pp. 241-247
-
-
San, O.1
Huynh, V.2
Nakamori, Y.3
-
9
-
-
0032595161
-
A fuzzy k-modes algorithm for clustering categorical data
-
Z. Huang, M.K. Ng, "A fuzzy k-modes algorithm for clustering categorical data", IEEE Trans. Fuzzy Syst., Vol.7, No.4, pp.446-152, 1999.
-
(1999)
IEEE Trans. Fuzzy Syst.
, vol.7
, Issue.4
, pp. 446-1152
-
-
Huang, Z.1
Ng, M.K.2
-
10
-
-
0035534111
-
K-modes clustering
-
A. Chaturvedi, Paul E. Green and J.D. Caroll, "K-modes clustering", Journal of Classification, Vol.18, No.1, pp.35-55, 2001.
-
(2001)
Journal of Classification
, vol.18
, Issue.1
, pp. 35-55
-
-
Chaturvedi, A.1
Green, P.E.2
Caroll, J.D.3
-
11
-
-
34250871625
-
Initializing K-means batch clustering: A critical evaluation of several techniques
-
Douglas Steinley, Michael J. Brusco, "Initializing K-means batch clustering: A critical evaluation of several techniques", Journal of Classification, Vol.24, No.1, pp.99-121, 2007.
-
(2007)
Journal of Classification
, vol.24
, Issue.1
, pp. 99-121
-
-
Steinley, D.1
Brusco, M.J.2
-
12
-
-
0036567251
-
An iterative initial-points refinement algorithm for categorical data clustering
-
DOI 10.1016/S0167-8655(01)00163-5, PII S0167865501001635
-
Y. Sun, Q.M. Zhu, Z.X. Chen, "An iterative initial-points refinement algorithm for categorical data clustering", Pattern Recognition Letters, Vol.23, No.7, pp.875-884, 2002. (Pubitemid 34409476)
-
(2002)
Pattern Recognition Letters
, vol.23
, Issue.7
, pp. 875-884
-
-
Sun, Y.1
Zhu, Q.2
Chen, Z.3
-
13
-
-
38049171345
-
A new initialization method for categorical data clustering
-
S. Wu, Q.S. Jiang, Z.X. Huang, "A new initialization method for categorical data clustering", Lecture Notes in Computer Science, Vol.4426, pp.972-980, 2007.
-
(2007)
Lecture Notes in Computer Science
, vol.4426
, pp. 972-980
-
-
Wu, S.1
Jiang, Q.S.2
Huang, Z.X.3
-
15
-
-
67349143085
-
A new initialization method for categorical data clustering
-
F.Y. Cao, J.Y. Liang and L. Bai, "A new initialization method for categorical data clustering", Expert Systems with Applications, Vol.33, No.7, pp. 10223-10228, 2009.
-
(2009)
Expert Systems with Applications
, vol.33
, Issue.7
, pp. 10223-10228
-
-
Cao, F.Y.1
Liang, J.Y.2
Bai, L.3
-
16
-
-
79957516063
-
An initialization method to simultaneously find initial cluster modes and the number of clusters for clustering categorical data
-
L. Bai, J. Liang and C. Dang, "An initialization method to simultaneously find initial cluster modes and the number of clusters for clustering categorical data", Knowl. Based Syst., Vol.24, No.6, pp.785-795, 2011.
-
(2011)
Knowl. Based Syst.
, vol.24
, Issue.6
, pp. 785-795
-
-
Bai, L.1
Liang, J.2
Dang, C.3
-
17
-
-
0018918224
-
A convergence theorem for the fuzzy ISO Data clustering algorithms
-
J.C. Bezdek, "A convergence theorem for the fuzzy ISODATA clustering algorithms", IEEE Trans. Pattern Anal. Machine Intell, Vol.PAMI-2, No.1, pp.1-8, 1980.
-
(1980)
IEEE Trans. Pattern Anal. Machine Intell
, vol.PAMI 2
, Issue.1
, pp. 1-8
-
-
Bezdek, J.C.1
-
18
-
-
84870720186
-
-
Available at
-
UCI Available at: http://mlearn.ics.uci.edu/ML Summary.html.
-
-
-
|