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Volumn , Issue , 2005, Pages 65-72

Cluster ensembles

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTER ENSEMBLES; CLUSTERING PROBLEMS; CONSENSUS CLUSTERING; GENERAL OPTIMIZATIONS;

EID: 84879548271     PISSN: 14318814     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/3-540-28084-7_6     Document Type: Conference Paper
Times cited : (9)

References (24)
  • 2
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • BREIMAN, L. (1996): Bagging predictors. Machine Learning, 24(2), 123-140.
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 3
    • 0000747464 scopus 로고
    • Foreword: Comparison and consensus of classifications
    • DAY, W. H. E. (1986): Foreword: Comparison and consensus of classifications. Journal of Classification, 3, 183-185.
    • (1986) Journal of Classification , vol.3 , pp. 183-185
    • Day, W.H.E.1
  • 5
    • 84958955890 scopus 로고    scopus 로고
    • Voting-merging: An ensemble method for clustering
    • G. Dorffner, H. Bischof and K. Hornik (Eds). volume 2130 of LNCS. Springer Verlag
    • DIMITRIADOU, E.,WEINGESSEL, A. and HORNIK, K. (2001): Voting-merging: An ensemble method for clustering. In: G. Dorffner, H. Bischof and K. Hornik (Eds.): Artificial Neural Networks - ICANN 2001, volume 2130 of LNCS. Springer Verlag, 217-224.
    • (2001) Artificial Neural Networks - ICANN 2001 , pp. 217-224
    • Dimitriadou, E.1    Weingessel, A.2    Hornik, K.3
  • 7
    • 0037172724 scopus 로고    scopus 로고
    • A prediction-based resampling method to estimate the number of clusters in a dataset
    • DUDOIT, S. and FRIDLYAND, J. (2002): A prediction-based resampling method to estimate the number of clusters in a dataset. Genome Biology, 3(7), 0036.1- 0036.21.
    • (2002) Genome Biology , vol.3 , Issue.7 , pp. 00361-003621
    • Dudoit, S.1    Fridlyand, J.2
  • 8
    • 0035998835 scopus 로고    scopus 로고
    • Model-based clustering, discriminant analysis, and density estimation
    • FRALEY, C. and RAFTERY, A. E. (2002): Model-based clustering, discriminant analysis, and density estimation. Journal of the American Statistical Association, 97, 611-631. URL http://www.stat.washington.edu/mclust.
    • (2002) Journal of the American Statistical Association , vol.97 , pp. 611-631
    • Fraley, C.1    Raftery, A.E.2
  • 10
    • 0034164230 scopus 로고    scopus 로고
    • Additive logistic regression: A statistical view of boosting
    • FRIEDMAN, J., HASTIE, T. and TIBSHIRANI, R. (2000): Additive logistic regression: A statistical view of boosting. The Annals of Statistics, 28(2), 337-407.
    • (2000) The Annals of Statistics , vol.28 , Issue.2 , pp. 337-407
    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 12
    • 0035534931 scopus 로고    scopus 로고
    • Fuzzy partition models for fitting a set of partitions
    • GORDON, A. D. and VICHI, M. (2001): Fuzzy partition models for fitting a set of partitions. Psychometrika, 66(2), 229-248.
    • (2001) Psychometrika , vol.66 , Issue.2 , pp. 229-248
    • Gordon, A.D.1    Vichi, M.2
  • 16
    • 0011376709 scopus 로고
    • A proposed index of the conformity of one sociometric measurement to another
    • KATZ, L. and POWELL, J. H. (1953): A proposed index of the conformity of one sociometric measurement to another. Psychometrika, 18, 149-256.
    • (1953) Psychometrika , vol.18 , pp. 149-256
    • Katz, L.1    Powell, J.H.2
  • 17
    • 0033444769 scopus 로고    scopus 로고
    • A generalized Rand-index method for consensus clustering of separate partitions of the same data base
    • KRIEGER, A. M. and GREEN, P. E. (1999): A generalized Rand-index method for consensus clustering of separate partitions of the same data base. Journal of Classification, 16, 63-89.
    • (1999) Journal of Classification , vol.16 , pp. 63-89
    • Krieger, A.M.1    Green, P.E.2
  • 18
    • 25944479013 scopus 로고    scopus 로고
    • Adaptive information systems and modeling in economics and management science
    • Working Paper 51, SFB
    • LEISCH, F. (1999): Bagged clustering. Working Paper 51, SFB "Adaptive Information Systems and Modeling in Economics and Management Science". URL http://www.ci.tuwien.ac.at/~leisch/papers/wp51.ps.
    • (1999) Bagged Clustering.
    • Leisch, F.1
  • 19
    • 0012765998 scopus 로고
    • An algorithm to maximize the agreement between partitions
    • MESSATFA, H. (1992): An algorithm to maximize the agreement between partitions. Journal of Classification, 9, 5-15.
    • (1992) Journal of Classification , vol.9 , pp. 5-15
    • Messatfa, H.1
  • 20
    • 1542320106 scopus 로고    scopus 로고
    • Randomized parallel algorithms for the multidimensional assignment problem
    • OLIVEIRA, C. A. S. and PARDALOS, P. M. (2004): Randomized parallel algorithms for the multidimensional assignment problem. Applied Numerical Mathematics, 49(1), 117-133.
    • (2004) Applied Numerical Mathematics , vol.49 , Issue.1 , pp. 117-133
    • Oliveira, C.A.S.1    Pardalos, P.M.2
  • 22
    • 84950632109 scopus 로고
    • Objective criteria for the evaluation of clustering methods
    • RAND, W. M. (1971): Objective criteria for the evaluation of clustering methods. Journal of the American Statistical Association, 66(336).
    • (1971) Journal of the American Statistical Association , vol.66 , Issue.336
    • Rand, W.M.1
  • 23
    • 0041965980 scopus 로고    scopus 로고
    • Cluster ensembles - A knowledge reuse framework for combining multiple partitions
    • STREHL, A. and GHOSH, J. (2002): Cluster ensembles - a knowledge reuse framework for combining multiple partitions. Journal on Machine Learning Research, 3, 583-617.
    • (2002) Journal on Machine Learning Research , vol.3 , pp. 583-617
    • Strehl, A.1    Ghosh, J.2
  • 24
    • 0033243639 scopus 로고    scopus 로고
    • One-mode classification of a three-way data matrix
    • VICHI, M. (1999): One-mode classification of a three-way data matrix. Journal of Classification, 16, 27-44.
    • (1999) Journal of Classification , vol.16 , pp. 27-44
    • Vichi, M.1


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