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Volumn 32, Issue 3, 2009, Pages 213-235

Extending the rand, adjusted rand and jaccard indices to fuzzy partitions

Author keywords

Array processing language; Clustering quality; Consensus indices; Fuzzy clustering; J notation; J programming language; Measures of agreement; Measures of association

Indexed keywords

CLUSTERING QUALITY; CONSENSUS INDICES; J NOTATION; J PROGRAMMING LANGUAGE; MEASURES OF AGREEMENT; MEASURES OF ASSOCIATION;

EID: 67349236664     PISSN: 09259902     EISSN: 15737675     Source Type: Journal    
DOI: 10.1007/s10844-008-0054-7     Document Type: Article
Times cited : (54)

References (26)
  • 4
    • 58449100975 scopus 로고    scopus 로고
    • A clustering quality measure based on the proximity matrices for the pattern vectors and the membership vectors
    • (vol. under review).
    • Brouwer, R. K. (2008) A clustering quality measure based on the proximity matrices for the pattern vectors and the membership vectors. International Journal Pattern Recognition and Artificial Intelligence (vol. under review).
    • (2008) International Journal Pattern Recognition and Artificial Intelligence
    • Brouwer, R.K.1
  • 6
    • 84885969802 scopus 로고
    • Omega: a general formulation of the rand index of cluster recovery suitable for non-disjoint solutions
    • L. M. Collins C. W. Dent 1988 Omega: a general formulation of the rand index of cluster recovery suitable for non-disjoint solutions Multivariate Behavioural Research 23 231 42
    • (1988) Multivariate Behavioural Research , vol.23 , pp. 231-42
    • Collins, L.M.1    Dent, C.W.2
  • 7
    • 0030669030 scopus 로고    scopus 로고
    • Exploring the metabolic and genetic control of gene expression on a genomic scale
    • DOI 10.1126/science.278.5338.680
    • J. I. DeRisi V. R. Iyer P. O. Brown 1997 Exploring the metabolic and genetic control of gene expression on a genomic scale Science 278 680 686 (Pubitemid 27464965)
    • (1997) Science , vol.278 , Issue.5338 , pp. 680-686
    • DeRisi, J.L.1    Iyer, V.R.2    Brown, P.O.3
  • 10
    • 67349092746 scopus 로고    scopus 로고
    • Thompson Rivers University press Kamloops
    • Graves, D. (2006). Clustering quality measures. Kamloops: Thompson Rivers University press TR TRU-CIG-2006-07, July.
    • (2006) Clustering quality measures
    • Graves, D.1
  • 17
    • 84948872101 scopus 로고
    • A study of the comparability of external criteria for hierarchical cluster analysis
    • G. W. Milligan M. C. Cooper 1986 A study of the comparability of external criteria for hierarchical cluster analysis Multivariate Behavioral Research 21 441 58
    • (1986) Multivariate Behavioral Research , vol.21 , pp. 441-58
    • Milligan, G.W.1    Cooper, M.C.2
  • 18
    • 84973745157 scopus 로고
    • The measurement of classification agreement: an adjustment to the rand statistic for chance agreement
    • L. C. Morey A. Agresti 1984 The measurement of classification agreement: an adjustment to the rand statistic for chance agreement Educational and Psychological Measurement 44 3 37
    • (1984) Educational and Psychological Measurement , vol.44 , pp. 3-37
    • Morey, L.C.1    Agresti, A.2
  • 19
    • 84950632109 scopus 로고
    • Objective criteria for the evaluation of clustering methods
    • W. M. Rand 1971 Objective criteria for the evaluation of clustering methods Journal of the American Statistical Association 66 846 850
    • (1971) Journal of the American Statistical Association , vol.66 , pp. 846-850
    • Rand, W.M.1
  • 20
    • 0030544126 scopus 로고    scopus 로고
    • A computer program to calculate Hubert and Arabie's adjusted rand index
    • S. Robert S. Ken 1996 A computer program to calculate Hubert and Arabie's adjusted rand index Journal of Classification 13 169 172 (Pubitemid 126331467) and Econometrics Berlin
    • (1996) Journal of Classification , vol.1
    • Robert, S.1    Ken, S.2
  • 21
    • 0030544126 scopus 로고    scopus 로고
    • A computer program to calculate Hubert and Arabie's adjusted rand index
    • Saporta, G., & Youness, G. (2002). Comparing two partitions: Some proposals and experiments. in COMPSTAT, 15th Conference on Computational Statistics. Berlin: Institute of Statistics and Econometrics.
    • (1996) Journal of Classification , vol.13 , Issue.1 , pp. 169-172
    • Saltstone, R.1    Stange, K.2
  • 22
    • 33750021210 scopus 로고    scopus 로고
    • Evaluation and comparison of gene clustering methods in microarray analysis
    • A. Thalamuthu I. Mukhopadhyay X. Zheng G. C. Tseng 2006 Evaluation and comparison of gene clustering methods in microarray analysis Bioinformatics 22 2405 12 (Pubitemid 44566970)
    • (2006) Bioinformatics , vol.22 , pp. 2
    • Thalamuthu, A.1    Mukhopadhyay, I.2    Zheng, X.3    Tseng, G.C.4
  • 23
    • 33750021210 scopus 로고    scopus 로고
    • Evaluation and comparison of gene clustering methods in microarray analysis
    • DOI 10.1093/bioinformatics/btl406
    • A. Thalamuthu I. Mukhopadhyay X. Zheng G. C. Tseng 2006 Evaluation and comparison of gene clustering methods in microarray analysis Bioinformatics 22 2405 12 (Pubitemid 44566970)
    • (2006) Bioinformatics , vol.22 , Issue.19 , pp. 2405-2412
    • Thalamuthu, A.1    Mukhopadhyay, I.2    Zheng, X.3    Tseng, G.C.4
  • 25
    • 0035024021 scopus 로고    scopus 로고
    • Validating clustering for gene expression data
    • K. Y. Yeung W. L. Ruzzo 2001 Principal component analysis for clustering gene expression data Bioinformatics 17 763 774 (Pubitemid 32421924)
    • (2001) Bioinformatics , vol.17 , Issue.4 , pp. 309-318
    • Yeung, K.Y.1    Haynor, D.R.2    Ruzzo, W.L.3
  • 26
    • 0034800371 scopus 로고    scopus 로고
    • Principal component analysis for clustering gene expression data
    • Yeung, K. Y., & Ruzzo, W. L. (2001). Principal component analysis for clustering gene expression data. Bioinformatics, 17, 763-774 September 1.
    • (2001) Bioinformatics , vol.17 , Issue.9 , pp. 763-774
    • Yeung, K.Y.1    Ruzzo, W.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.