-
1
-
-
0036359730
-
A Stability based Method for Discovering Structure in Clustered Data
-
World Scientific Publishing Co New Jersey
-
A. Ben-Hur, A. Elisseeff, and I. Guyon A Stability based Method for Discovering Structure in Clustered Data Pacific Symposium on Biocomputing vol. 7 2002 World Scientific Publishing Co New Jersey
-
(2002)
Pacific Symposium on Biocomputing
, vol.7
-
-
Ben-Hur, A.1
Elisseeff, A.2
Guyon, I.3
-
2
-
-
0142057962
-
Detecting stable clusters using principal component analysis
-
M.J. Brownstein, A. Kohodursky, Humana Press
-
A. Ben-Hur, and I. Guyon Detecting stable clusters using principal component analysis M.J. Brownstein, A. Kohodursky, Methods in Molecular Biology 2003 Humana Press 159 182
-
(2003)
Methods in Molecular Biology
, pp. 159-182
-
-
Ben-Hur, A.1
Guyon, I.2
-
3
-
-
0003543198
-
-
Ph.D. Thesis, Applied Mathematics Center, Cornell University, Ithaca
-
J.C. Bezdek, Fuzzy Mathematics in Pattern Classification, Ph.D. Thesis, Applied Mathematics Center, Cornell University, Ithaca, 1973.
-
(1973)
Fuzzy Mathematics in Pattern Classification
-
-
Bezdek, J.C.1
-
4
-
-
0015644823
-
Cluster validity with fuzzy sets
-
J.C. Bezdek Cluster validity with fuzzy sets J. Cybernet. 3 1974 58 72
-
(1974)
J. Cybernet.
, vol.3
, pp. 58-72
-
-
Bezdek, J.C.1
-
5
-
-
0002626172
-
Mathematical models for systematics and taxonomy
-
G. Estabrook, Freeman San Francisco, CA
-
J.C. Bezdek Mathematical models for systematics and taxonomy G. Estabrook, Proc. 8th Int. Conf. Numerical Taxonomy 1975 Freeman San Francisco, CA 143 166
-
(1975)
Proc. 8th Int. Conf. Numerical Taxonomy
, pp. 143-166
-
-
Bezdek, J.C.1
-
7
-
-
0037399775
-
Cluster validation techniques for genome expression data
-
N. Bolshakova, and F. Azuaje Cluster validation techniques for genome expression data Signal Process. 83 2003 825 833
-
(2003)
Signal Process.
, vol.83
, pp. 825-833
-
-
Bolshakova, N.1
Azuaje, F.2
-
8
-
-
19544366640
-
A knowledge-driven approach to cluster validity assessment
-
DOI 10.1093/bioinformatics/bti317
-
N. Bolshakova, F. Azuaje, and P. Cunningham A knowledge-driven approach to cluster validity assessment Bioinformatics 21 10 2005 2546 2547 (Pubitemid 40731622)
-
(2005)
Bioinformatics
, vol.21
, Issue.10
, pp. 2546-2547
-
-
Bolshakova, N.1
Azuaje, F.2
Cunningham, P.3
-
9
-
-
0032670148
-
Dynamic estimation of number of clusters in data set
-
A.O. Boudraa Dynamic estimation of number of clusters in data set Electron. Lett. 35 1999 1606 1608
-
(1999)
Electron. Lett.
, vol.35
, pp. 1606-1608
-
-
Boudraa, A.O.1
-
10
-
-
33745841541
-
An objective approach to cluster validation
-
DOI 10.1016/j.patrec.2006.01.015, PII S0167865506000584
-
M. Bouguessa, S. Wang, and H. Sun An objective approach to cluster validation Pattern Recognit. Lett. 27 2006 1419 1430 (Pubitemid 44037102)
-
(2006)
Pattern Recognition Letters
, vol.27
, Issue.13
, pp. 1419-1430
-
-
Bouguessa, M.1
Wang, S.2
Sun, H.3
-
11
-
-
0000642069
-
Replicating cluster analysis: Method, consistency and validity
-
J. Breckenridge Replicating cluster analysis: method, consistency and validity Multivar. Behav. Res. 24 1989 147 161
-
(1989)
Multivar. Behav. Res.
, vol.24
, pp. 147-161
-
-
Breckenridge, J.1
-
12
-
-
46749142532
-
ClValid, an R package for cluster validation
-
G.N. Brock, V. Pihur, S. Datta, and S. Datta clValid, an R package for cluster validation J. Statist. Softw. 25 4 2008
-
(2008)
J. Statist. Softw.
, vol.25
, Issue.4
-
-
Brock, G.N.1
Pihur, V.2
Datta, S.3
Datta, S.4
-
13
-
-
45749116590
-
Enhanced fuzzy system models with improved fuzzy clustering algorithm
-
Asli Celikyilmaz, and I.Burhan Türksen Enhanced fuzzy system models with improved fuzzy clustering algorithm IEEE Trans. Fuzzy Syst. 16 3 2008 779 794
-
(2008)
IEEE Trans. Fuzzy Syst.
, vol.16
, Issue.3
, pp. 779-794
-
-
Celikyilmaz, A.1
Türksen, I.B.2
-
14
-
-
36148971216
-
Validation criteria for enhanced fuzzy clustering
-
DOI 10.1016/j.patrec.2007.08.017, PII S0167865507002772
-
Asli Celikyilmaz, and I.Burhan Türken Validation criteria for enhanced fuzzy clustering Pattern Recognit. Lett. 29 2008 97 108 (Pubitemid 350116989)
-
(2008)
Pattern Recognition Letters
, vol.29
, Issue.2
, pp. 97-108
-
-
Celikyilmaz, A.1
Burhan Turksen, I.2
-
15
-
-
0742320762
-
Rule-base self-generation and simplification for data-driven fuzzy models
-
M.Y. Chen, and A. Linkens Rule-base self-generation and simplification for data-driven fuzzy models J. Fuzzy Sets Syst. 142 2004 243 265
-
(2004)
J. Fuzzy Sets Syst.
, vol.142
, pp. 243-265
-
-
Chen, M.Y.1
Linkens, A.2
-
17
-
-
0037172724
-
A prediction based re-sampling method for estimating the number of clusters in a data set
-
S. Dudoit, and J. Fridlyand A prediction based re-sampling method for estimating the number of clusters in a data set Genome Biol. 3 2002 1 21
-
(2002)
Genome Biol.
, vol.3
, pp. 1-21
-
-
Dudoit, S.1
Fridlyand, J.2
-
18
-
-
84941155240
-
Well separated clusters and fuzzy partitions
-
J.C. Dunn Well separated clusters and fuzzy partitions J. Cybernet. 4 1974 95 104
-
(1974)
J. Cybernet.
, vol.4
, pp. 95-104
-
-
Dunn, J.C.1
-
19
-
-
74449084138
-
A stability based validity method for fuzzy clustering
-
M. Falasconi, A. Gutierrez, M. Pardo, G. Sberveglieri, and S. Marco A stability based validity method for fuzzy clustering Pattern Recognit. 43 2010 1292 1305
-
(2010)
Pattern Recognit.
, vol.43
, pp. 1292-1305
-
-
Falasconi, M.1
Gutierrez, A.2
Pardo, M.3
Sberveglieri, G.4
Marco, S.5
-
20
-
-
0001404416
-
A new method of choosing the number of clusters for the fuzzy c-means method
-
(in Japanese)
-
Y. Fukuyama, M. Sugeno, A new method of choosing the number of clusters for the fuzzy c-means method, in: Proc. of Fifth Fuzzy Systems Symposium, 1989, pp. 247-250 (in Japanese).
-
(1989)
Proc. of Fifth Fuzzy Systems Symposium
, pp. 247-250
-
-
Fukuyama, Y.1
Sugeno, M.2
-
21
-
-
41949141213
-
-
ASA-SIAM Series on Statistics and Applied Probability SIAM Philadelphia, ASA, Alexandria, VA
-
Guojun Gan, Chaoqun Ma, and Jianhong Wu Data Clustering: Theory, Algorithms, and Applications ASA-SIAM Series on Statistics and Applied Probability 2007 SIAM Philadelphia, ASA, Alexandria, VA
-
(2007)
Data Clustering: Theory, Algorithms, and Applications
-
-
Gan, G.1
Ma, C.2
Wu, J.3
-
25
-
-
25144456056
-
Computational cluster validation in post-genomic data analysis
-
DOI 10.1093/bioinformatics/bti517
-
J. Handl, J. Knowles, and D.B. Kell Computational cluster validation in post-genomic data analysis Bioinformatics 21 15 2005 3201 3212 (Pubitemid 41418432)
-
(2005)
Bioinformatics
, vol.21
, Issue.15
, pp. 3201-3212
-
-
Handl, J.1
Knowles, J.2
Kell, D.B.3
-
27
-
-
4544263146
-
On cluster validity index for estimation of the optimal number of fuzzy clusters
-
D.W. Kim, K.H. Lee, and D. Lee On cluster validity index for estimation of the optimal number of fuzzy clusters Pattern Recognit. 37 2004 2009 2025
-
(2004)
Pattern Recognit.
, vol.37
, pp. 2009-2025
-
-
Kim, D.W.1
Lee, K.H.2
Lee, D.3
-
28
-
-
0032178397
-
Cluster validity index for fuzzy clustering
-
S.K. Kwon Cluster validity index for fuzzy clustering Electron. Lett. 34 22 1998 2176 2177
-
(1998)
Electron. Lett.
, vol.34
, Issue.22
, pp. 2176-2177
-
-
Kwon, S.K.1
-
29
-
-
2442611856
-
Stability-based validation of clustering solutions
-
DOI 10.1162/089976604773717621
-
T. Lange, V. Roth, M.L. Braun, and J.M. Buhmann Stability based validation of clustering solutions Neural Comput. 16 2004 1299 1323 (Pubitemid 38640626)
-
(2004)
Neural Computation
, vol.16
, Issue.6
, pp. 1299-1323
-
-
Lange, T.1
Roth, V.2
Braun, M.L.3
Buhmann, J.M.4
-
30
-
-
0035514007
-
Resampling method for unsupervised estimation of cluster validity
-
DOI 10.1162/089976601753196030
-
E. Levine, and E. Domany Resampling method for unsupervised estimation of cluster validity Neural Comput. 13 2001 2573 2593 (Pubitemid 33594585)
-
(2001)
Neural Computation
, vol.13
, Issue.11
, pp. 2573-2593
-
-
Levine, E.1
Domany, E.2
-
33
-
-
39149123579
-
Currency crises analyzed by Type-1 fuzzy logic system
-
I. Ozkan, I.B. Turksen, and H.Okan Aktan Currency crises analyzed by Type-1 fuzzy logic system Fuzzy Econ. Rev. 9 2004 36 59
-
(2004)
Fuzzy Econ. Rev.
, vol.9
, pp. 36-59
-
-
Ozkan, I.1
Turksen, I.B.2
Aktan, H.O.3
-
34
-
-
34548660459
-
Upper and lower values for the level of fuzziness in FCM
-
DOI 10.1016/j.ins.2007.06.028, PII S0020025507003210, Including: Mathematics of Uncertainty
-
I. Ozkan, and I.B. Turksen Upper and lower values for the level of fuzziness in FCM Inform. Sci. 177 2007 5143 5152 (Pubitemid 47409987)
-
(2007)
Information Sciences
, vol.177
, Issue.23
, pp. 5143-5152
-
-
Ozkan, I.1
Turksen, I.B.2
-
35
-
-
39149083742
-
Currency crisis and its perception with fuzzy C-means
-
I. Ozkan, I.B. Turksen, and N. Canpolat Currency crisis and its perception with fuzzy C-means Inform. Sci. 178 8 2008 1923 1934
-
(2008)
Inform. Sci.
, vol.178
, Issue.8
, pp. 1923-1934
-
-
Ozkan, I.1
Turksen, I.B.2
Canpolat, N.3
-
36
-
-
0029360028
-
On cluster validity for the fuzzy c-means model
-
N.R. Pal, and J.C. Bezdek On cluster validity for the fuzzy c-means model IEEE Trans. Fuzzy Syst. 3 1995 370 379
-
(1995)
IEEE Trans. Fuzzy Syst.
, vol.3
, pp. 370-379
-
-
Pal, N.R.1
Bezdek, J.C.2
-
37
-
-
77249122077
-
Cluster validation using information stability measures
-
D. Pascual, F. Pla, and J.S. Sánchez Cluster validation using information stability measures Pattern Recognit. Lett. 31 6 2010 454 461
-
(2010)
Pattern Recognit. Lett.
, vol.31
, Issue.6
, pp. 454-461
-
-
Pascual, D.1
Pla, F.2
Sánchez, J.S.3
-
39
-
-
58849140614
-
Development of assessment criteria for clustering algorithms
-
Sameh A. Salem, and Asoke K. Nandi Development of assessment criteria for clustering algorithms Pattern Anal. Appl. 12 2009 79 98
-
(2009)
Pattern Anal. Appl.
, vol.12
, pp. 79-98
-
-
Salem, S.A.1
Nandi, A.K.2
-
40
-
-
84940644968
-
The mathematical theory of communication
-
623-656
-
C.E. Shannon The mathematical theory of communication The Bell Syst. Tech. J. 27 July and October 1948 379 423 623-656
-
(1948)
The Bell Syst. Tech. J.
, vol.27
, Issue.JULY AND OCTOBER
, pp. 379-423
-
-
Shannon, C.E.1
-
41
-
-
0242679438
-
Finding the Number of Clusters in a Dataset: An Information-Theoretic Approach
-
DOI 10.1198/016214503000000666
-
C. Sugar, and G. James Finding the number of clusters in a data set: an information theoretic approach J. Amer. Stat. Assoc. 98 2003 750 763 (Pubitemid 37395947)
-
(2003)
Journal of the American Statistical Association
, vol.98
, Issue.463
, pp. 750-763
-
-
Sugar, C.A.1
James, G.M.2
-
42
-
-
0007180827
-
An application of cluster analysis to health services research: Empirically defined health states for depression from the sf-12
-
Stanford University, Stanford
-
C. Sugar, L. Lenert, R. Olshen, An application of cluster analysis to health services research: empirically defined health states for depression from the sf-12. Technical Report, Stanford University, Stanford. 1999.
-
(1999)
Technical Report
-
-
Sugar, C.1
Lenert, L.2
Olshen, R.3
-
43
-
-
0035532141
-
Estimating the number of clusters in a data set via the gap statistic
-
R. Tibshirani, G. Walther, and T. Hastie Estimating the number of clusters in a data set via the gap statistic J.R. Stat. Soc. B, Part 2 2004 411 423
-
(2004)
J.R. Stat. Soc. B, Part
, vol.2
, pp. 411-423
-
-
Tibshirani, R.1
Walther, G.2
Hastie, T.3
-
46
-
-
34547434740
-
On fuzzy clustervalidity indices
-
W. Wang, and Y. Zhang On fuzzy clustervalidity indices Fuzzy Sets Syst. 158 2007 2095 2117
-
(2007)
Fuzzy Sets Syst.
, vol.158
, pp. 2095-2117
-
-
Wang, W.1
Zhang, Y.2
-
50
-
-
71849110443
-
A new separation measure for improving the effectiveness of validity indices
-
10.1016/j.ins.2009.11.005
-
Shihong Yue, Jeen-Shing Wang, Teresa Wu, and Huaxiang Wang A new separation measure for improving the effectiveness of validity indices Inform. Sci. 180 5, 1 2010 748 764 10.1016/j.ins.2009.11.005
-
(2010)
Inform. Sci.
, vol.180
, Issue.5
, pp. 748-764
-
-
Yue, S.1
Wang, J.-S.2
Wu, T.3
Wang, H.4
-
51
-
-
36549068285
-
A cluster validity index for fuzzy clustering
-
DOI 10.1016/j.ins.2007.10.004, PII S0020025507004781
-
Y. Zhang, W. Wang, X. Zhang, and Y. Li A cluster validity index for fuzzy clustering Inform. Sci. 178 2008 1205 1218 (Pubitemid 350180904)
-
(2008)
Information Sciences
, vol.178
, Issue.4
, pp. 1205-1218
-
-
Zhang, Y.1
Wang, W.2
Zhang, X.3
Li, Y.4
-
52
-
-
80055040260
-
-
.
-
-
-
|