-
2
-
-
33845270074
-
Clustering methods
-
Springer, USA
-
Lior Rokach, Oded Maimon (Eds.). Clustering methods. In: Data Mining and Knowledge Discovery Handbook. vol. 1., Springer, USA, 2005, pp. 321-352.
-
(2005)
Data Mining and Knowledge Discovery Handbook
, vol.1
, pp. 321-352
-
-
Rokach, L.1
Maimon, O.2
-
3
-
-
84892062680
-
A survey of clustering data mining techniques
-
Jacob Kogan, Charles Nicholas, Marc Teboulle, Springer Berlin Heidelberg
-
Pavel Berkhin A survey of clustering data mining techniques Jacob Kogan, Charles Nicholas, Marc Teboulle, Grouping Multidimensional Data 2006 Springer Berlin Heidelberg 25 71
-
(2006)
Grouping Multidimensional Data
, pp. 25-71
-
-
Berkhin, P.1
-
7
-
-
84899089919
-
-
University Paris Ouest Lab Modal'X
-
Bernard Desgraupes, Clustering Indices, University Paris Ouest Lab Modal'X, 2013
-
(2013)
Clustering Indices
-
-
Desgraupes, B.1
-
9
-
-
0032269108
-
How many clusters? Which clustering method? Answers via model-based cluster analysis
-
Chris Fraley, and Adrian E. Raftery How many clusters? Which clustering method? Answers via model-based cluster analysis Comput. J. 41 8 1998 578 588
-
(1998)
Comput. J.
, vol.41
, Issue.8
, pp. 578-588
-
-
Fraley, C.1
Raftery, A.E.2
-
10
-
-
0034228914
-
Assessing a mixture model for clustering with the integrated completed likelihood
-
Christophe Biernacki, Gilles Celeux, and Gérard Govaert Assessing a mixture model for clustering with the integrated completed likelihood IEEE Trans. Pattern Anal. Mach. Intell. 22 7 2000 719 725
-
(2000)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.22
, Issue.7
, pp. 719-725
-
-
Biernacki, C.1
Celeux, G.2
Govaert, G.3
-
13
-
-
33845291376
-
Investigation on several model selection criteria for determining the number of cluster
-
Xuelei Hu, and Lei Xu Investigation on several model selection criteria for determining the number of cluster Neural Inf. Process. - Lett. Rev. 4 1 2004 1 10
-
(2004)
Neural Inf. Process. - Lett. Rev.
, vol.4
, Issue.1
, pp. 1-10
-
-
Hu, X.1
Xu, L.2
-
14
-
-
0037172724
-
A prediction-based resampling method for estimating the number of clusters in a dataset
-
research0036
-
Sandrine Dudoit, and Jane Fridlyand A prediction-based resampling method for estimating the number of clusters in a dataset Genome Biol. 3 7 2002 research0036
-
(2002)
Genome Biol.
, vol.3
, Issue.7
-
-
Dudoit, S.1
Fridlyand, J.2
-
15
-
-
0035514007
-
Resampling method for unsupervised estimation of cluster validity
-
Erel Levine, and Eytan Domany Resampling method for unsupervised estimation of cluster validity Neural Comput. 13 11 2001 2573 2593
-
(2001)
Neural Comput.
, vol.13
, Issue.11
, pp. 2573-2593
-
-
Levine, E.1
Domany, E.2
-
16
-
-
23744437299
-
On a resampling approach for tests on the number of clusters with mixture model-based clustering of tissue samples
-
G.J. McLachlan, and N. Khan On a resampling approach for tests on the number of clusters with mixture model-based clustering of tissue samples J. Multivar. Anal. 90 1 2004 90 105
-
(2004)
J. Multivar. Anal.
, vol.90
, Issue.1
, pp. 90-105
-
-
McLachlan, G.J.1
Khan, N.2
-
18
-
-
0347918435
-
A resampling approach to cluster validation
-
Physica-Verlag HD Heidelberg
-
V. Roth, T. Lange, M. Braun, and J. Buhmann A resampling approach to cluster validation in: Compstat 2002 Physica-Verlag HD Heidelberg 123 129
-
(2002)
Compstat
, pp. 123-129
-
-
Roth, V.1
Lange, T.2
Braun, M.3
Buhmann, J.4
-
19
-
-
33646944424
-
A method of predicting the number of clusters using Rand's statistic
-
Seong S. Chae, Janice L. DuBien, and William D. Warde A method of predicting the number of clusters using Rand's statistic Comput. Stat. Data Anal. 50 12 2006 3531 3546
-
(2006)
Comput. Stat. Data Anal.
, vol.50
, Issue.12
, pp. 3531-3546
-
-
Chae, S.S.1
DuBien, J.L.2
Warde, W.D.3
-
20
-
-
33947159574
-
Evaluation of stability of k-means cluster ensembles with respect to random initialization
-
Ludmila I. Kuncheva, and Dmitry P. Vetrov Evaluation of stability of k-means cluster ensembles with respect to random initialization IEEE Trans. Pattern Anal. Mach. Intell. 28 11 2006 1798 1808
-
(2006)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.28
, Issue.11
, pp. 1798-1808
-
-
Kuncheva, L.I.1
Vetrov, D.P.2
-
21
-
-
0038724494
-
Consensus clustering: A resampling-based method for class discovery and visualization of gene expression microarray data
-
Stefano Monti, Pablo Tamayo, Jill Mesirov, and Todd Golub Consensus clustering: a resampling-based method for class discovery and visualization of gene expression microarray data Mach. Learn. 52 1-2 2003 91 118
-
(2003)
Mach. Learn.
, vol.52
, Issue.1-2
, pp. 91-118
-
-
Monti, S.1
Tamayo, P.2
Mesirov, J.3
Golub, T.4
-
23
-
-
0242679438
-
Finding the number of clusters in a dataset
-
Catherine A. Sugar, and Gareth M. James Finding the number of clusters in a dataset J. Am. Stat. Assoc. 98 463 2003 750 763
-
(2003)
J. Am. Stat. Assoc.
, vol.98
, Issue.463
, pp. 750-763
-
-
Sugar, C.A.1
James, G.M.2
-
24
-
-
57049189677
-
Knee point detection in BIC for detecting the number of clusters
-
Springer Berlin, Heidelberg
-
Qinpei Zhao, Ville Hautamaki, and Pasi Fränti Knee point detection in BIC for detecting the number of clusters Advanced Concepts for Intelligent Vision Systems 2008 Springer Berlin, Heidelberg 664 673
-
(2008)
Advanced Concepts for Intelligent Vision Systems
, pp. 664-673
-
-
Zhao, Q.1
Hautamaki, V.2
Fränti, P.3
-
25
-
-
84861436095
-
Internal versus external cluster validation indexes
-
Eréndira Rendón, and et al. Internal versus external cluster validation indexes Int. J. Comput. Commun. 5 1 2011 27 34
-
(2011)
Int. J. Comput. Commun.
, vol.5
, Issue.1
, pp. 27-34
-
-
Rendón, E.1
-
26
-
-
84866018958
-
An extensive comparative study of cluster validity indices
-
Olatz Arbelaitz, and et al. An extensive comparative study of cluster validity indices Pattern Recognit. 46 1 2013 243 256
-
(2013)
Pattern Recognit.
, vol.46
, Issue.1
, pp. 243-256
-
-
Arbelaitz, O.1
-
28
-
-
8744307994
-
Multimodel inference understanding AIC and BIC in model selection
-
Kenneth P. Burnham, and David R. Anderson Multimodel inference understanding AIC and BIC in model selection Sociol. Methods Res. 33 2 2004 261 304
-
(2004)
Sociol. Methods Res.
, vol.33
, Issue.2
, pp. 261-304
-
-
Burnham, K.P.1
Anderson, D.R.2
-
30
-
-
0035434818
-
Subspace information criterion for model selection
-
Masashi Sugiyama, and Hidemitsu Ogawa Subspace information criterion for model selection Neural Comput. 13 8 2001 1863 1889
-
(2001)
Neural Comput.
, vol.13
, Issue.8
, pp. 1863-1889
-
-
Sugiyama, M.1
Ogawa, H.2
-
31
-
-
77950369345
-
Data clustering: 50 Years beyond K-means
-
Anil K. Jain Data clustering: 50 years beyond K-means Pattern Recognit. Lett. 31 8 2010 651 666
-
(2010)
Pattern Recognit. Lett.
, vol.31
, Issue.8
, pp. 651-666
-
-
Jain, A.K.1
-
33
-
-
84975794900
-
The CLUSTER Procedure: Clustering Methods
-
SAS Institute, Cary, NC, USA
-
The CLUSTER Procedure: Clustering Methods, SAS/STAT 9.2 Users Guide, second edition, SAS Institute, Cary, NC, USA.
-
SAS/STAT 9.2 Users Guide, Second Edition
-
-
-
36
-
-
34250115918
-
An examination of procedures for determining the number of clusters in a data set
-
Glenn W. Milligan, and Martha C. Cooper An examination of procedures for determining the number of clusters in a data set Psychometrika 50 2 1985 159 179
-
(1985)
Psychometrika
, vol.50
, Issue.2
, pp. 159-179
-
-
Milligan, G.W.1
Cooper, M.C.2
-
37
-
-
0001518855
-
A general statistical framework for assessing categorical clustering in free recall
-
Lawrence J. Hubert, and Joel R. Levin A general statistical framework for assessing categorical clustering in free recall Psychol. Bull. 83 6 1976 1072
-
(1976)
Psychol. Bull.
, vol.83
, Issue.6
, pp. 1072
-
-
Hubert, L.J.1
Levin, J.R.2
-
39
-
-
84941155240
-
Well separated clusters and optimal fuzzy partitions
-
J.C. Dunn Well separated clusters and optimal fuzzy partitions J. Cybern. 4 1974 95 104
-
(1974)
J. Cybern.
, vol.4
, pp. 95-104
-
-
Dunn, J.C.1
-
40
-
-
0023905024
-
A criterion for determining the number of groups in a data set using sum of squares clustering
-
W.J. Krzanowski, and Y.T. Lai A criterion for determining the number of groups in a data set using sum of squares clustering Biometrics 1988 23 34
-
(1988)
Biometrics
, pp. 23-34
-
-
Krzanowski, W.J.1
Lai, Y.T.2
-
41
-
-
0348108148
-
Validity index for crisp and fuzzy clusters
-
Malay K. Pakhira, Sanghamitra Bandyopadhyay, and Ujjwal Maulik Validity index for crisp and fuzzy clusters Pattern Recognit. 37 3 2004 487 501
-
(2004)
Pattern Recognit.
, vol.37
, Issue.3
, pp. 487-501
-
-
Pakhira, M.K.1
Bandyopadhyay, S.2
Maulik, U.3
-
43
-
-
0023453329
-
Silhouettes: A graphical aid to the interpretation and validation of cluster analysis
-
P. Rousseeuw Silhouettes: a graphical aid to the interpretation and validation of cluster analysis J. Comput. Appl. Math. 20 1987 53 65
-
(1987)
J. Comput. Appl. Math.
, vol.20
, pp. 53-65
-
-
Rousseeuw, P.1
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