-
1
-
-
19544371182
-
Multi-view clustering
-
S. Bickel and T. Scheffer, "Multi-view clustering," in Proc. 4th IEEE Int. Conf. Data Mining, Washington, DC, USA, 2004, pp. 19-26.
-
4th IEEE Int. Conf. Data Mining, Washington, DC, USA, 2004
, pp. 19-26
-
-
Bickel, S.1
Scheffer, T.2
-
2
-
-
77951158146
-
A centralized method for multiple-view clustering
-
G. Cleuziou, M. Exbrayat, L. Martin, and J.-H. Sublemontier, "CoFKM: A centralized method for multiple-view clustering," in Proc. 9th IEEE Int. Conf. Data Mining (ICDM), Miami, FL, USA, 2009, pp. 752-757.
-
Proc. 9th IEEE Int. Conf. Data Mining (ICDM), Miami, FL, USA, 2009
, pp. 752-757
-
-
Cleuziou, G.1
Exbrayat, M.2
Martin, L.3
Sublemontier, J.-H.4
-
3
-
-
71149099083
-
Multi-view clustering via canonical correlation analysis
-
K. Chaudhuri, S. M. Kakade, K. Livescu, and K. Sridharan, "Multi-view clustering via canonical correlation analysis," in Proc. 26th Annu. Int. Conf. Mach. Learn., Montreal, QC, Canada, 2009, pp. 129-136.
-
Proc. 26th Annu. Int. Conf. Mach. Learn., Montreal, QC, Canada, 2009
, pp. 129-136
-
-
Chaudhuri, K.1
Kakade, S.M.2
Livescu, K.3
Sridharan, K.4
-
4
-
-
70450168247
-
Spectral clustering with two views
-
V. R. de Sa, "Spectral clustering with two views," in Proc. 22nd Int. Conf. Mach. Learn. Workshop Learn. Multiple Views, Bonn, Germany, 2005, pp. 20-27.
-
Proc. 22nd Int. Conf. Mach. Learn. Workshop Learn. Multiple Views, Bonn, Germany, 2005
, pp. 20-27
-
-
De Sa, V.R.1
-
5
-
-
71049164704
-
A matrix factorization approach for integrating multiple data views
-
D. Greene and P. Cunningham, "A matrix factorization approach for integrating multiple data views," in Proc. Eur. Conf. Mach. Learn. Knowl. Discov. Databases, Bled, Slovenia, 2009, pp. 423-438.
-
Proc.Eur. Conf. Mach. Learn. Knowl. Discov. Databases, Bled, Slovenia, 2009
, pp. 423-438
-
-
Greene, D.1
Cunningham, P.2
-
6
-
-
70450204397
-
Convex mixture models for multi-view clustering
-
G. Tzortzis and A. Likas, "Convex mixture models for multi-view clustering,"in Proc. 19th Int. Conf. Artif. Neural Netw. II, Limassol, Cyprus, 2009, pp. 205-214.
-
Proc. 19th Int. Conf. Artif. Neural Netw. II, Limassol, Cyprus, 2009
, pp. 205-214
-
-
Tzortzis, G.1
Likas, A.2
-
7
-
-
34547970997
-
Spectral clustering and transductive learning with multiple views
-
D. Zhou and C. J. C. Burges, "Spectral clustering and transductive learning with multiple views," in Proc. 24th Int. Conf. Mach. Learn., Corvalis, OR, USA, 2007, pp. 1159-1166.
-
Proc. 24th Int. Conf. Mach. Learn., Corvalis, OR, USA, 2007
, pp. 1159-1166
-
-
Zhou, D.1
Burges, C.J.C.2
-
9
-
-
19544389868
-
Protein network inference from multiple genomic data: A supervised approach
-
Y. Yamanishi, J. P. Vert, and M. Kanehisa, "Protein network inference from multiple genomic data: A supervised approach," Bioinformatics, vol. 2, no. 1, pp. 363-370, 2004.
-
(2004)
Bioinformatics
, vol.2
, Issue.1
, pp. 363-370
-
-
Yamanishi, Y.1
Vert, J.P.2
Kanehisa, M.3
-
10
-
-
0041965980
-
Cluster ensembles - A knowledge reuse framework for combining multiple partitions
-
Dec.
-
A. Strehl and J. Ghosh, "Cluster ensembles - A knowledge reuse framework for combining multiple partitions," Mach. Learn. Res., vol. 3, pp. 583-617, Dec. 2002.
-
(2002)
Mach. Learn. Res.
, vol.3
, pp. 583-617
-
-
Strehl, A.1
Ghosh, J.2
-
11
-
-
52649115862
-
A general model for multiple view unsupervised learning
-
B. Long, P. S. Yu, and Z. M. Zhang, "A general model for multiple view unsupervised learning," in Proc. 8th SIAM Int. Conf. Data Mining, Atlanta, GA, USA, 2008, pp. 822-833.
-
Proc. 8th SIAM Int. Conf. Data Mining, Atlanta, GA, USA, 2008
, pp. 822-833
-
-
Long, B.1
Yu, P.S.2
Zhang, Z.M.3
-
12
-
-
0036885192
-
Collaborative fuzzy clustering
-
W. Pedrycz, "Collaborative fuzzy clustering," Pattern Recognit. Lett., vol. 23, no. 14, pp. 1675-1686, 2002.
-
(2002)
Pattern Recognit. Lett.
, vol.23
, Issue.14
, pp. 1675-1686
-
-
Pedrycz, W.1
-
13
-
-
33646436173
-
Estimation of mixture models using Co-EM
-
S. Bickel and T. Scheffer, "Estimation of mixture models using Co-EM," in Proc. Eur. Conf. Mach. Learn. (ECML), Porto, Portugal, 2005, pp. 35-46.
-
Proc. Eur. Conf. Mach. Learn. (ECML), Porto, Portugal, 2005
, pp. 35-46
-
-
Bickel, S.1
Scheffer, T.2
-
14
-
-
73049108426
-
Collaborative clustering with background knowledge
-
G. Forestier, P. Gancÿarski, and C. Wemmert, "Collaborative clustering with background knowledge," Data Knowl. Eng., vol. 69, no. 2, pp. 211-228, 2010.
-
(2010)
Data Knowl. Eng.
, vol.69
, Issue.2
, pp. 211-228
-
-
Forestier, G.1
Gancÿarski, P.2
Wemmert, C.3
-
15
-
-
33746795353
-
Rough-fuzzy collaborative clustering systems
-
Aug.
-
S. Mitra, H. Banka, and W. Pedrycz, "Rough-fuzzy collaborative clustering systems," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 36, no. 4, pp. 795-805, Aug. 2006.
-
(2006)
IEEE Trans. Syst., Man, Cybern. B, Cybern.
, vol.36
, Issue.4
, pp. 795-805
-
-
Mitra, S.1
Banka, H.2
Pedrycz, W.3
-
16
-
-
48249140474
-
Collaborative and knowledge-based fuzzy clustering
-
W. Pedrycz, "Collaborative and knowledge-based fuzzy clustering,"Int. J. Innovat. Comput. Inf. Control, vol. 3, no. 1, pp. 1-12, 2007.
-
(2007)
Int. J. Innovat. Comput. Inf. Control
, vol.3
, Issue.1
, pp. 1-12
-
-
Pedrycz, W.1
-
17
-
-
79551506172
-
PSO driven collaborative clustering: A clustering algorithm for ubiquitous environments
-
B. Depaire, R. Falcon, K. Vanhoof, and G. Wets, "PSO driven collaborative clustering: A clustering algorithm for ubiquitous environments,"Intell. Data Anal., vol. 15, no. 1, pp. 49-68, 2011.
-
(2011)
Intell. Data Anal.
, vol.15
, Issue.1
, pp. 49-68
-
-
Depaire, B.1
Falcon, R.2
Vanhoof, K.3
Wets, G.4
-
18
-
-
84873293546
-
Collaborative fuzzy clustering algorithms: Some refinements and design guidelines
-
Jun.
-
L. F. S. Coletta, L. Vendramin, E. R. Hruschka, R. J. G. B. Campello, and W. Pedrycz, "Collaborative fuzzy clustering algorithms: Some refinements and design guidelines," IEEE Trans. Fuzzy Syst., vol. 20, no. 3, pp. 444-462, Jun. 2012.
-
(2012)
IEEE Trans. Fuzzy Syst.
, vol.20
, Issue.3
, pp. 444-462
-
-
Coletta, L.F.S.1
Vendramin, L.2
Hruschka, E.R.3
Campello, R.J.G.B.4
Pedrycz, W.5
-
19
-
-
67349203840
-
Generalized fuzzy C-means clustering algorithm with improved fuzzy partitions
-
Jun.
-
L. Zhu, F. L. Chung, and S. T. Wang, "Generalized fuzzy C-means clustering algorithm with improved fuzzy partitions," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 39, no. 3, pp. 578-591, Jun. 2009.
-
(2009)
IEEE Trans. Syst., Man, Cybern. B, Cybern.
, vol.39
, Issue.3
, pp. 578-591
-
-
Zhu, L.1
Chung, F.L.2
Wang, S.T.3
-
20
-
-
34347228671
-
An entropy weighting k-means algorithm for subspace clustering of high-dimensional sparse data
-
Aug.
-
L. Jing, M. Ng, and Z. Huang, "An entropy weighting k-means algorithm for subspace clustering of high-dimensional sparse data," IEEE Trans. Knowl. Data Eng., vol. 19, no. 8, pp. 1026-1041, Aug. 2007.
-
(2007)
IEEE Trans. Knowl. Data Eng.
, vol.19
, Issue.8
, pp. 1026-1041
-
-
Jing, L.1
Ng, M.2
Huang, Z.3
-
21
-
-
70449699648
-
Enhanced soft subspace clustering integrating within-cluster and between-cluster information
-
Z. Deng, K. S. Choi, F. L. Chung, and S. Wang, "Enhanced soft subspace clustering integrating within-cluster and between-cluster information,"Pattern Recognit., vol. 43, no. 3, pp. 767-781, 2010.
-
(2010)
Pattern Recognit.
, vol.43
, Issue.3
, pp. 767-781
-
-
Deng, Z.1
Choi, K.S.2
Chung, F.L.3
Wang, S.4
-
22
-
-
80053561639
-
EEW-SC: Enhanced entropy-weighting subspace clustering for high dimensional gene expression data clustering analysis
-
Z. Deng, K. S. Choi, F. L. Chung, and S. Wang, "EEW-SC: Enhanced entropy-weighting subspace clustering for high dimensional gene expression data clustering analysis," Appl. Soft Comput., vol. 11, no. 8, pp. 4798-4806, 2011.
-
(2011)
Appl. Soft Comput.
, vol.11
, Issue.8
, pp. 4798-4806
-
-
Deng, Z.1
Choi, K.S.2
Chung, F.L.3
Wang, S.4
-
23
-
-
84874046471
-
Kernel-based weighted multi-view clustering
-
G. F. Tzortzis and A. C. Likas, "Kernel-based weighted multi-view clustering,"in Proc. IEEE 12th Int. Conf. Data Mining, Brussels, Belgium, 2012, pp. 675-684.
-
Proc. IEEE 12th Int. Conf. Data Mining, Brussels, Belgium, 2012
, pp. 675-684
-
-
Tzortzis, G.F.1
Likas, A.C.2
-
24
-
-
84874615171
-
TW-k-means: Automated two-level variable weighting clustering algorithm for multi-view data
-
Apr.
-
X. Chen, X. Xu, J. Z. Huang, and Y. Ye, "TW-k-means: Automated two-level variable weighting clustering algorithm for multi-view data," IEEE Trans. Knowl. Data Eng., vol. 25, no. 4, pp. 932-944, Apr. 2013.
-
(2013)
IEEE Trans. Knowl. Data Eng.
, vol.25
, Issue.4
, pp. 932-944
-
-
Chen, X.1
Xu, X.2
Huang, J.Z.3
Ye, Y.4
-
26
-
-
84867612677
-
Fuzzy c-means algorithms for very large data
-
Dec.
-
T. C. Havens, J. C. Bezdek, C. Leckie, L. O. Hall, and M. Palaniswami, "Fuzzy c-means algorithms for very large data," IEEE Trans. Fuzzy Syst., vol. 20, no. 6, pp. 1130-1146, Dec. 2012.
-
(2012)
IEEE Trans. Fuzzy Syst.
, vol.20
, Issue.6
, pp. 1130-1146
-
-
Havens, T.C.1
Bezdek, J.C.2
Leckie, C.3
Hall, L.O.4
Palaniswami, M.5
-
27
-
-
84863157412
-
Multiple kernel fuzzy clustering
-
Feb.
-
H. C. Huang, Y. Y. Chuang, and C. S. Chen, "Multiple kernel fuzzy clustering," IEEE Trans. Fuzzy Syst., vol. 20, no. 1, pp. 120-134, Feb. 2012.
-
(2012)
IEEE Trans. Fuzzy Syst.
, vol.20
, Issue.1
, pp. 120-134
-
-
Huang, H.C.1
Chuang, Y.Y.2
Chen, C.S.3
-
28
-
-
84885576449
-
A generalization of distance functions for fuzzy c-means clustering with centroids of arithmetic means
-
Jun.
-
J. Wu, H. Xiong, C. Liu, and J. Chen, "A generalization of distance functions for fuzzy c-means clustering with centroids of arithmetic means,"IEEE Trans. Fuzzy Syst., vol. 20, no. 3, pp. 557-571, Jun. 2012.
-
(2012)
IEEE Trans. Fuzzy Syst.
, vol.20
, Issue.3
, pp. 557-571
-
-
Wu, J.1
Xiong, H.2
Liu, C.3
Chen, J.4
-
30
-
-
84886567160
-
-
Irvine, CA, USA: Univ. California, School of Information and Computer Science [Online]. Available
-
K. Bache and M. Lichman. (2013). UCI Machine Learning Repository. Irvine, CA, USA: Univ. California, School of Information and Computer Science [Online]. Available: http://archive.ics.uci.edu/ml
-
(2013)
UCI Machine Learning Repository
-
-
Bache, K.1
Lichman, M.2
-
31
-
-
84925123597
-
-
Aug. 1 [Online]. Available
-
(2007, Aug. 1). Trygve Randen, Brodatz Textures [EB/OL] [Online]. Available: http://www.ux.uis.no/~tranden/brodatz.html
-
(2007)
Trygve Randen, Brodatz Textures [EB/OL]
-
-
-
32
-
-
77951197506
-
Learning the shared subspace for multi-task clustering and transductive transfer classification
-
Q. Q. Gu and J. Zhou, "Learning the shared subspace for multi-task clustering and transductive transfer classification," in Proc. Int. Conf. Data Mining (ICDM), Miami, FL, USA, 2009, pp. 159-168.
-
Proc. Int. Conf. Data Mining (ICDM), Miami, FL, USA, 2009
, pp. 159-168
-
-
Gu, Q.Q.1
Zhou, J.2
-
33
-
-
70350697580
-
Co-clustering on manifolds
-
Q. Q. Gu and J. Zhou, "Co-clustering on manifolds," in Proc. Knowl. Discov. Data Mining (KDD), Paris, France, 2009, pp. 359-368.
-
Proc. Knowl. Discov. Data Mining (KDD), Paris, France, 2009
, pp. 359-368
-
-
Gu, Q.Q.1
Zhou, J.2
-
34
-
-
33747857417
-
Distance-based clustering of CGH data
-
J. Liu et al., "Distance-based clustering of CGH data," Bioinformatics, vol. 22, no. 16, pp. 1971-1978, 2006.
-
(2006)
Bioinformatics
, vol.22
, Issue.16
, pp. 1971-1978
-
-
Liu, J.1
-
35
-
-
0346094167
-
Simple Gabor feature space for invariant object recognition
-
V. Kyrki, J. K. Kamarainen, and H. Kalviainen, "Simple Gabor feature space for invariant object recognition," Pattern Recognit. Lett., vol. 25, no. 3, pp. 311-318, 2004.
-
(2004)
Pattern Recognit. Lett.
, vol.25
, Issue.3
, pp. 311-318
-
-
Kyrki, V.1
Kamarainen, J.K.2
Kalviainen, H.3
-
36
-
-
0037860964
-
Fuzzy co-clustering of documents and keywords
-
K. Kummamuru, A. Dhawale, and R. Krishnapuram, "Fuzzy co-clustering of documents and keywords," in Proc. IEEE Fuzzy Syst., 2003, pp. 772-777.
-
Proc. IEEE Fuzzy Syst., 2003
, pp. 772-777
-
-
Kummamuru, K.1
Dhawale, A.2
Krishnapuram, R.3
-
37
-
-
84882912099
-
Color segmentation by fuzzy co-clustering of chrominance color features
-
Nov.
-
M. Hanmandlu, O. P. Verma, S. Susan, and V. K. Madasu, "Color segmentation by fuzzy co-clustering of chrominance color features,"Neurocomputing, vol. 120, pp. 235-249, Nov. 2013.
-
(2013)
Neurocomputing
, vol.120
, pp. 235-249
-
-
Hanmandlu, M.1
Verma, O.P.2
Susan, S.3
Madasu, V.K.4
-
38
-
-
0017953820
-
A cluster separation measure
-
Apr.
-
D. L. Davies and D. W. Bouldin, "A cluster separation measure," IEEE Trans. Pattern Anal. Mach. Intell., vol. 1, no. 2, pp. 224-227, Apr. 1979.
-
(1979)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.1
, Issue.2
, pp. 224-227
-
-
Davies, D.L.1
Bouldin, D.W.2
-
40
-
-
0029226148
-
A maximum entropy approach to fuzzy clustering
-
R. P. Li and M. A. Mukaidono, "A maximum entropy approach to fuzzy clustering," in Proc. IEEE Int. Conf. Fuzzy Syst., Yokohama, Japan, 1995, pp. 2227-2232.
-
Proc. IEEE Int. Conf. Fuzzy Syst., Yokohama, Japan, 1995
, pp. 2227-2232
-
-
Li, R.P.1
Mukaidono, M.A.2
-
41
-
-
34347228671
-
An entropy weighting k-means algorithm for subspace clustering of high-dimensional sparse data
-
Aug.
-
L. P. Jing, M. K. Ng, and Z. X. Huang, "An entropy weighting k-means algorithm for subspace clustering of high-dimensional sparse data," IEEE Trans. Knowl. Data Eng., vol. 19, no. 8, pp. 1026-1041, Aug. 2007.
-
(2007)
IEEE Trans. Knowl. Data Eng.
, vol.19
, Issue.8
, pp. 1026-1041
-
-
Jing, L.P.1
Ng, M.K.2
Huang, Z.X.3
-
42
-
-
84873301089
-
A boundary restricted adaptive particle swarm optimization for data clustering
-
S. Rana, S. Jasola, and R. Kumar, "A boundary restricted adaptive particle swarm optimization for data clustering," Int. J. Mach. Learn. Cybern., vol. 4, no. 4, pp. 391-400, 2013.
-
(2013)
Int. J. Mach. Learn. Cybern.
, vol.4
, Issue.4
, pp. 391-400
-
-
Rana, S.1
Jasola, S.2
Kumar, R.3
-
43
-
-
84872345248
-
Additive and multiplicative mixed normal distributions and finding cluster centers
-
S. Lipovetsky, "Additive and multiplicative mixed normal distributions and finding cluster centers," Int. J. Mach. Learn. Cybern., vol. 4, no. 1, pp. 1-11, 2013.
-
(2013)
Int. J. Mach. Learn. Cybern.
, vol.4
, Issue.1
, pp. 1-11
-
-
Lipovetsky, S.1
-
44
-
-
84863463582
-
Maximum ambiguity based sample selection in fuzzy decision tree induction
-
Aug.
-
X. Z. Wang, L. C. Dong, and J. H. Yan, "Maximum ambiguity based sample selection in fuzzy decision tree induction," IEEE Trans. Knowl. Data Eng., vol. 24, no. 8, pp. 1491-1505, Aug. 2012.
-
(2012)
IEEE Trans. Knowl. Data Eng.
, vol.24
, Issue.8
, pp. 1491-1505
-
-
Wang, X.Z.1
Dong, L.C.2
Yan, J.H.3
|