-
1
-
-
84885020665
-
Consensus strategy for clustering using rc-images
-
A. Adán, and M. Adán Consensus strategy for clustering using rc-images Pattern Recognit. 47 2014 402 417
-
(2014)
Pattern Recognit.
, vol.47
, pp. 402-417
-
-
Adán, A.1
Adán, M.2
-
2
-
-
84888601007
-
To improve the quality of cluster ensembles by selecting a subset of base clusters
-
H. Alizadeh, B. Minaei-Bidgoli, and H. Parvin To improve the quality of cluster ensembles by selecting a subset of base clusters J. Exp. Theor. Artif. Intell. 26 1 2013 127 150
-
(2013)
J. Exp. Theor. Artif. Intell.
, vol.26
, Issue.1
, pp. 127-150
-
-
Alizadeh, H.1
Minaei-Bidgoli, B.2
Parvin, H.3
-
4
-
-
75749158471
-
On voting-based consensus of cluster ensembles
-
H.G. Ayad, and M.S. Kamel On voting-based consensus of cluster ensembles Pattern Recognit. 43 2010 1943 1953
-
(2010)
Pattern Recognit.
, vol.43
, pp. 1943-1953
-
-
Ayad, H.G.1
Kamel, M.S.2
-
5
-
-
84896528463
-
Weighted ensemble of algorithms for complex data clustering
-
V. Berikov Weighted ensemble of algorithms for complex data clustering Pattern Recognit. Lett. 38 1 2014 99 106
-
(2014)
Pattern Recognit. Lett.
, vol.38
, Issue.1
, pp. 99-106
-
-
Berikov, V.1
-
7
-
-
34548016117
-
Robust path-based spectral clustering
-
H. Chang, and D.Y. Yeung Robust path-based spectral clustering Pattern Recognit. 41 2008 191 203
-
(2008)
Pattern Recognit.
, vol.41
, pp. 191-203
-
-
Chang, H.1
Yeung, D.Y.2
-
10
-
-
14344258244
-
Solving cluster ensemble problems by bipartite graph partitioning
-
ACM, Banff, Canada
-
X.Z. Fern, C.E. Brodley, Solving cluster ensemble problems by bipartite graph partitioning, in: Proceedings of the Twenty-first International Conference on Machine Learning, ACM, Banff, Canada, 2004, pp. 36-43.
-
(2004)
Proceedings of the Twenty-first International Conference on Machine Learning
, pp. 36-43
-
-
Fern, X.Z.1
Brodley, C.E.2
-
12
-
-
84887020048
-
Ensemble clustering by means of clustering embedding in vector spaces
-
L. Franek, and X. Jiang Ensemble clustering by means of clustering embedding in vector spaces Pattern Recognit. 47 2014 833 842
-
(2014)
Pattern Recognit.
, vol.47
, pp. 833-842
-
-
Franek, L.1
Jiang, X.2
-
13
-
-
33244462619
-
Iterative shrinking method for clustering problems
-
P. Fränti, and O. Virmajoki Iterative shrinking method for clustering problems Pattern Recognit. 39 5 2006 761 775
-
(2006)
Pattern Recognit.
, vol.39
, Issue.5
, pp. 761-775
-
-
Fränti, P.1
Virmajoki, O.2
-
15
-
-
84962517759
-
-
Springer London
-
A.L.N. Fred, A. Lourenço, H. Aidos, S.R. Bulò, N. Rebagliati, M.A.T. Figueiredo, and M. Pelillo Learning Similarities from Examples Under the Evidence Accumulation Clustering Paradigm 2013 Springer London
-
(2013)
Learning Similarities from Examples Under the Evidence Accumulation Clustering Paradigm
-
-
Fred, A.L.N.1
Lourenço, A.2
Aidos, H.3
Bulò, S.R.4
Rebagliati, N.5
Figueiredo, M.A.T.6
Pelillo, M.7
-
16
-
-
39449096984
-
Flame, a novel fuzzy clustering method for the analysis of dna microarray data
-
L. Fu, and E. Medico Flame, a novel fuzzy clustering method for the analysis of dna microarray data BMC Bioinform. 8 2007 3
-
(2007)
BMC Bioinform.
, vol.8
, pp. 3
-
-
Fu, L.1
Medico, E.2
-
18
-
-
0142039770
-
Probability density estimation from optimally condensed data samples
-
M. Girolami, and C. He Probability density estimation from optimally condensed data samples IEEE Trans. Pattern Anal. Mach. Intell. 25 2003 1253 1264
-
(2003)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.25
, pp. 1253-1264
-
-
Girolami, M.1
He, C.2
-
19
-
-
84862186708
-
Ensemble methods for biclustering tasks
-
B. Hanczar, and M. Nadif Ensemble methods for biclustering tasks Pattern Recognit. 45 2012 3938 3949
-
(2012)
Pattern Recognit.
, vol.45
, pp. 3938-3949
-
-
Hanczar, B.1
Nadif, M.2
-
20
-
-
34548254914
-
Cluster-wise assessment of cluster stability
-
C. Hennig Cluster-wise assessment of cluster stability Comput. Stat. Data Anal. 52 1 2007 258 271
-
(2007)
Comput. Stat. Data Anal.
, vol.52
, Issue.1
, pp. 258-271
-
-
Hennig, C.1
-
21
-
-
0000008146
-
Comparing partitions
-
L. Hubert, and P. Arabie Comparing partitions J. Classif. 2 1985 193 218
-
(1985)
J. Classif.
, vol.2
, pp. 193-218
-
-
Hubert, L.1
Arabie, P.2
-
23
-
-
56749104539
-
Refining pairwise similarity matrix for cluster ensemble problem with cluster relations
-
N. Iam-On, T. Boongoen, S. Garrett, Refining pairwise similarity matrix for cluster ensemble problem with cluster relations, in: Discovery Science, Lecture Notes in Artificial Intelligence, vol. 5255, 2008, pp. 222-233.
-
(2008)
Discovery Science, Lecture Notes in Artificial Intelligence
, vol.5255
, pp. 222-233
-
-
Iam-On, N.1
Boongoen, T.2
Garrett, S.3
-
25
-
-
33646723902
-
Data clustering: a users dilemma
-
Springer, Berlin Heidelberg
-
A.K. Jain, M.H. Law, Data clustering: a users dilemma, in: Pattern Recognition and Machine Intelligence, Springer, Berlin Heidelberg, 2005, pp. 1-10.
-
(2005)
Pattern Recognition and Machine Intelligence
, pp. 1-10
-
-
Jain, A.K.1
Law, M.H.2
-
26
-
-
79956344429
-
Bagging-based spectral clustering ensemble selection
-
J. Jia, X. Xiao, B. Liu, and L. Jiao Bagging-based spectral clustering ensemble selection Pattern Recognit. Lett. 32 2011 1456 1467
-
(2011)
Pattern Recognit. Lett.
, vol.32
, pp. 1456-1467
-
-
Jia, J.1
Xiao, X.2
Liu, B.3
Jiao, L.4
-
27
-
-
0002806618
-
Multilevel k-way partitioning scheme for irregular graphs
-
G. Karypis, and V. Kumar Multilevel k-way partitioning scheme for irregular graphs J. Parallel Distrib. Comput. 48 1 1998 96 129
-
(1998)
J. Parallel Distrib. Comput.
, vol.48
, Issue.1
, pp. 96-129
-
-
Karypis, G.1
Kumar, V.2
-
28
-
-
0033099622
-
Multilevel hypergraph partitioning applications in vlsi domain
-
G. Karypis, R. Aggarwal, V. Kumar, and S. Shekhar Multilevel hypergraph partitioning applications in vlsi domain IEEE Trans. Very Large Scale Integr. Syst. 7 1 1999 69 79
-
(1999)
IEEE Trans. Very Large Scale Integr. Syst.
, vol.7
, Issue.1
, pp. 69-79
-
-
Karypis, G.1
Aggarwal, R.2
Kumar, V.3
Shekhar, S.4
-
31
-
-
80053373556
-
A generative dyadic aspect model for evidence accumulation clustering
-
Springer, Berlin Heidelberg
-
A. Lourenço, A.L.N. Fred, M. Figueiredo, A generative dyadic aspect model for evidence accumulation clustering, in: Similarity-Based Pattern Recognition, Springer, Berlin Heidelberg, 2011, pp. 104-116.
-
(2011)
Similarity-Based Pattern Recognition
, pp. 104-116
-
-
Lourenço, A.1
Fred, A.L.N.2
Figueiredo, M.3
-
32
-
-
84920708410
-
Probabilistic consensus clustering using evidence accumulation
-
A. Lourenço, S.R. Buló N. Rebagliati, A.L.N. Fred, M.A.T. Figueiredo, M. Pelillo, Probabilistic consensus clustering using evidence accumulation, Mach. Learn. 98 (1-2) (2015) 331-357.
-
(2015)
Mach. Learn.
, vol.98
, Issue.1-2
, pp. 331-357
-
-
Lourenço, A.1
Buló, S.R.2
Rebagliati, N.3
Fred, A.L.N.4
Figueiredo, M.A.T.5
Pelillo, M.6
-
33
-
-
84883170582
-
Consensus clustering using partial evidence accumulation
-
Springer, Berlin Heidelberg
-
A. Lourenço, S.R. Buló N. Rebagliati, A.L.N. Fred, M.A.T. Figueiredo, M. Pelillo, Consensus clustering using partial evidence accumulation, in: Pattern Recognition and Image Analysis, Springer, Berlin Heidelberg, 2013, pp. 69-78.
-
(2013)
Pattern Recognition and Image Analysis
, pp. 69-78
-
-
Lourenço, A.1
Buló, S.R.2
Rebagliati, N.3
Fred, A.L.N.4
Figueiredo, M.A.T.5
Pelillo, M.6
-
34
-
-
84884917727
-
Consensus clustering with robust evidence accumulation
-
Springer, Berlin Heidelberg
-
A. Lourenço, S.R. Buló, N. Rebagliati, A.L.N. Fred, M. Pelillo, Consensus clustering with robust evidence accumulation, in: Energy Minimization Methods in Computer Vision and Pattern Recognition, Springer, Berlin Heidelberg, 2013, pp. 307-320.
-
(2013)
Energy Minimization Methods in Computer Vision and Pattern Recognition
, pp. 307-320
-
-
Lourenço, A.1
Buló, S.R.2
Rebagliati, N.3
Fred, A.L.N.4
Pelillo, M.5
-
35
-
-
84856498744
-
Diclens divisive clustering ensemble with automatic cluster number
-
S. Mimaroglu, and E. Aksehirli Diclens divisive clustering ensemble with automatic cluster number IEEE/ACM Trans. Comput. Biol. Bioinform. 9 2 2012 408 420
-
(2012)
IEEE/ACM Trans. Comput. Biol. Bioinform.
, vol.9
, Issue.2
, pp. 408-420
-
-
Mimaroglu, S.1
Aksehirli, E.2
-
36
-
-
78649326845
-
Combining multiple clusterings using similarity graph
-
S. Mimaroglu, and E. Erdil Combining multiple clusterings using similarity graph Pattern Recognit. 44 2011 694 703
-
(2011)
Pattern Recognit.
, vol.44
, pp. 694-703
-
-
Mimaroglu, S.1
Erdil, E.2
-
37
-
-
84899013108
-
On spectral clustering: analysis and an algorithm
-
A. Ng, M. Jordan, Y. Weiss, On spectral clustering: analysis and an algorithm, in: Advances in Neural Information Processing Systems, 2002, pp. 849-856.
-
(2002)
Advances in Neural Information Processing Systems
, pp. 849-856
-
-
Ng, A.1
Jordan, M.2
Weiss, Y.3
-
38
-
-
49749114840
-
Consensus clusterings
-
IEEE, Omaha, NE
-
N. Nguyen, R. Caruana, Consensus clusterings, in: Proceedings of the 7th IEEE International Conference on Data Mining, IEEE, Omaha, NE, 2007, pp. 607-612.
-
(2007)
Proceedings of the 7th IEEE International Conference on Data Mining
, pp. 607-612
-
-
Nguyen, N.1
Caruana, R.2
-
41
-
-
0041965980
-
Cluster ensembles - a knowledge reuse framework for combining multiple partitions
-
A. Strehl, and J. Ghosh Cluster ensembles - a knowledge reuse framework for combining multiple partitions J. Mach. Learn. Res. 3 2003 583 617
-
(2003)
J. Mach. Learn. Res.
, vol.3
, pp. 583-617
-
-
Strehl, A.1
Ghosh, J.2
-
46
-
-
58249083744
-
Combining multiple clusterings using similarity graph
-
X. Wang, C. Yang, and J. Zhou Combining multiple clusterings using similarity graph Pattern Recognit. 42 2009 668 675
-
(2009)
Pattern Recognit.
, vol.42
, pp. 668-675
-
-
Wang, X.1
Yang, C.2
Zhou, J.3
-
47
-
-
84855895614
-
Hybrid cluster ensemble framework based on the random combination of data transformation operators
-
Z. Yu, H.S. Wong, J. You, G. Yu, and G. Han Hybrid cluster ensemble framework based on the random combination of data transformation operators Pattern Recognit. 45 2012 1826 1837
-
(2012)
Pattern Recognit.
, vol.45
, pp. 1826-1837
-
-
Yu, Z.1
Wong, H.S.2
You, J.3
Yu, G.4
Han, G.5
-
48
-
-
84961371771
-
Fast minimum spanning tree algorithm based on K-means
-
C. Zhong, M. Malinen, D. Miao, and P. Fränti Fast minimum spanning tree algorithm based on K-means Inf. Sci. 295 2015 1 17
-
(2015)
Inf. Sci.
, vol.295
, pp. 1-17
-
-
Zhong, C.1
Malinen, M.2
Miao, D.3
Fränti, P.4
-
49
-
-
84899006908
-
Learning with local and global consistency
-
Cambridge, MA
-
D. Zhou, O. Bousquet, T.N. Lal, J. Weston, B. Schölkopf, Learning with local and global consistency, in: Advances in Neural Information Processing Systems, vol. 16, Cambridge, MA, 2004.
-
(2004)
Advances in Neural Information Processing Systems
, vol.16
-
-
Zhou, D.1
Bousquet, O.2
Lal, T.N.3
Weston, J.4
Schölkopf, B.5
|