-
1
-
-
36448962361
-
Cumulative voting consensus method for partitions with a variable number of clusters
-
pag 389-408
-
H.G. Ayad and M.S. Kamel, Cumulative Voting Consensus Method for Partitions with a Variable Number of Clusters, IEEE Trans. on Pattern Analysis and Machine Intelligence 30(1) (2008), 160-173 pag 389-408
-
(2008)
IEEE Trans. on Pattern Analysis and Machine Intelligence
, vol.30
, Issue.1
, pp. 160-173
-
-
Ayad, H.G.1
Kamel, M.S.2
-
2
-
-
0033973392
-
Resampling as a cluster validation technique in fmri
-
R. Baumgartner, R. Somorjai, R. Summers, W. Richter, L. Ryner and M. Jarmasz, Resampling as a Cluster Validation Technique in fMRI, Journal Of Magnetic Resonance Imaging 11 (2000), 228-231.
-
(2000)
Journal of Magnetic Resonance Imaging
, vol.11
, pp. 228-231
-
-
Baumgartner, R.1
Somorjai, R.2
Summers, R.3
Richter, W.4
Ryner, L.5
Jarmasz, M.6
-
4
-
-
0032432719
-
Simulation of extreme precipitation in the rhine basin by nearest-neighbour resampling
-
T. Brandsma and T.A. Buishand, Simulation of extreme precipitation in the Rhine basin by nearest-neighbour resampling, Hydrology and Earth System Sciences 2 (1998), 195-209.
-
(1998)
Hydrology and Earth System Sciences
, vol.2
, pp. 195-209
-
-
Brandsma, T.1
Buishand, T.A.2
-
5
-
-
0000642069
-
Replicating cluster analysis: Method consistency and validity
-
J. Breckenridge, Replicating cluster analysis: Method, consistency and validity. Multivariate Behavioral research, 1989.
-
(1989)
Multivariate Behavioral Research
-
-
Breckenridge, J.1
-
8
-
-
35248894964
-
Cluster validity using support vector machines
-
V. Estivill-Castro and J. Yang, Cluster Validity Using Support Vector Machines, DaWaK 2003, LNCS 2737, (2003), pp. 244-256.
-
(2003)
DaWaK 2003, LNCS 2737
, pp. 244-256
-
-
Estivill-Castro, V.1
Yang, J.2
-
12
-
-
33845229615
-
Data clustering using evidence accumulation
-
A. Fred and A.K. Jain, Data Clustering Using Evidence Accumulation. Intl. Conf. on Pattern Recognition, ICPR02, Quebec City, 2002, pp. 276-280.
-
(2002)
Intl. Conf. on Pattern Recognition, ICPR02, Quebec City
, pp. 276-280
-
-
Fred, A.1
Jain, A.K.2
-
14
-
-
42449158528
-
Cluster ensemble methods from single clusterings to combined solutions
-
A. Fred and A. Lourenco, Cluster Ensemble Methods: from Single Clusterings to Combined Solutions, Studies in Computational Intelligence (SCI) 126 (2008), 3-30.
-
(2008)
Studies in Computational Intelligence (SCI
, vol.126
, pp. 3-30
-
-
Fred, A.1
Lourenco, A.2
-
15
-
-
0038082421
-
Applications of resampling methods to estimate the number of clusters and to improve the accuracy of a clustering method
-
J. Fridlyand and S. Dudoit, Applications of resampling methods to estimate the number of clusters and to improve the accuracy of a clustering method, Stat. Berkeley Tech Report. No. 600, 2001.
-
(2001)
Stat. Berkeley Tech Report.
, Issue.600
-
-
Fridlyand, J.1
Dudoit, S.2
-
16
-
-
34250760248
-
Kernelized cluster validity measures and application to evaluation of different clustering algorithms
-
Canada, 16-21 July
-
R. Inokuchi, T. Nakamura and S. Miyamoto, Kernelized Cluster Validity Measures and Application to Evaluation of Different Clustering Algorithms, IEEE Int. Conf. on Fuzzy Systems, Canada, 16-21 July 2006.
-
(2006)
IEEE Int. Conf. on Fuzzy Systems
-
-
Inokuchi, R.1
Nakamura, T.2
Miyamoto, S.3
-
18
-
-
2442611856
-
Stability-based validat ion of clustering solutions
-
T. Lange, V. Roth,M.L. Braun and J.M. Buhmann, Stability-based validat ion of clustering solutions, Neural Computation 16(6) (2004), 1299-1323.
-
(2004)
Neural Computation
, vol.16
, Issue.6
, pp. 1299-1323
-
-
Lange, T.1
Roth, V.2
Braun, M.L.3
Buhmann, J.M.4
-
20
-
-
34047236380
-
Performance of data resampling methods based on clustering
-
U. Möller and D. Radke, Performance of data resampling methods based on clustering, Intelligent Data Analysis 10(2) (2006).
-
(2006)
Intelligent Data Analysis
, vol.10
, pp. 2
-
-
Möller, U.1
Radke, D.2
-
23
-
-
0347918435
-
A resampling approach to cluster validation
-
V. Roth, T. Lange, M. Braun and J. Buhmann, A Resampling Approach to Cluster Validation, Intl. Conf. on Computational Statistics, COMPSTAT (2002).
-
(2002)
Intl. Conf. on Computational Statistics, COMPSTAT
-
-
Roth, V.1
Lange, T.2
Braun, M.3
Buhmann, J.4
-
24
-
-
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, Journal of Machine Learning Research 3 (Dec 2002), 583-617.
-
(2002)
Journal of Machine Learning Research
, vol.3
, pp. 583-617
-
-
Strehl, A.1
Ghosh, J.2
-
28
-
-
80053949464
-
-
Springer Heidelberg, Part I
-
H. Alizadeh, B. Minaei-Bidgoli and H. Parvin, A New Criterion for Clusters Validation. Artificial Intelligence Applications and Innovations (AIAI 2011), IFIP, Springer, Heidelberg, Part I, 2011, pp. 240-246.
-
(2011)
A New Criterion for Clusters Validation. Artificial Intelligence Applications and Innovations (AIAI 2011), IFIP
, pp. 240-246
-
-
Alizadeh, H.1
Minaei-Bidgoli, B.2
Parvin, H.3
-
29
-
-
84879840765
-
Dynamical hierarchical self-organization of harmonic, motivic, and pitch categories
-
R. Marxer,P. Holonowicz,H. Purwins,A. Hazan Dynamical hierarchical self-organization of harmonic, motivic, and pitch categories In Music, Brain and Cognition. Part 2: Models of Sound and Cognition, held at NIPS 2007).
-
(2007)
Music, Brain and Cognition. Part 2: Models of Sound and Cognition, Held at NIPS
-
-
Marxer, R.1
Holonowicz, P.2
Purwins, H.3
Hazan, A.4
-
32
-
-
84893017266
-
Effects of resampling method and adaptation on clustering ensemble efficacy
-
B. Minaei-Bidgoli, H. Parvin, H. Alinejad-Rokny, H. Alizadeh and W.F. Punch, Effects of resampling method and adaptation on clustering ensemble efficacy, Artificial Intelligence Review 41(1) (2014), 27-48.
-
(2014)
Artificial Intelligence Review
, vol.41
, Issue.1
, pp. 27-48
-
-
Minaei-Bidgoli, B.1
Parvin, H.2
Parvin, H.3
Alizadeh, H.4
Punch, W.F.5
-
34
-
-
80053039117
-
Cluster ensembles. Wiley interdisciplinary reviews
-
J. Ghosh and A. Acharya, Cluster ensembles. Wiley interdisciplinary reviews, Data Min Knowl Disc 1(4) (2011), 305-315.
-
(2011)
Data Min Knowl Disc
, vol.1
, Issue.4
, pp. 305-315
-
-
Ghosh, J.1
Acharya, A.2
-
35
-
-
77956193730
-
Adaptive cluster ensemble selection
-
J. Azimi and X. Fern, Adaptive Cluster Ensemble Selection, IJCAI (9) (2009), 992-997.
-
(2009)
IJCAI
, vol.9
, pp. 992-997
-
-
Azimi, J.1
Fern, X.2
-
38
-
-
84878306591
-
Optimizing fuzzy cluster ensemble in string representation
-
H. Alizadeh, B.Minaei and H. Parvin, Optimizing Fuzzy cluster ensemble in string representation, International Journal of Pattern Recognition and Artificial Intelligence 27(2) (2013), 1350005-1-1350005-22.
-
(2013)
International Journal of Pattern Recognition and Artificial Intelligence
, vol.27
, Issue.2
, pp. 13500051-135000522
-
-
Alizadeh, H.1
Minaei, B.2
Parvin, H.3
-
39
-
-
84860735904
-
A framework for cluster ensemble based on a max metric as cluster evaluator
-
H. Alizadeh, H. Parvin and S. Parvin, A framework for cluster ensemble based on a max metric as cluster evaluator, IAENG International Journal of Computer Science, OKCS 39(1) (2012), 1-10.
-
(2012)
IAENG International Journal of Computer Science, OKCS
, vol.39
, Issue.1
, pp. 1-10
-
-
Alizadeh, H.1
Parvin, H.2
Parvin, S.3
|