메뉴 건너뛰기




Volumn 32, Issue 2, 2011, Pages 221-234

Validity index for clusters of different sizes and densities

Author keywords

Clustering; K Means clustering; Unsupervised classification; Validity index

Indexed keywords

SOFTWARE ENGINEERING;

EID: 78649332539     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2010.08.007     Document Type: Article
Times cited : (105)

References (27)
  • 1
    • 84879597103 scopus 로고
    • Measuring the power of hierarchical cluster analysis
    • F.B. Baker, and L.J. Hubert Measuring the power of hierarchical cluster analysis J. Amer. Statist. Assoc. 70 1975 31 38
    • (1975) J. Amer. Statist. Assoc. , vol.70 , pp. 31-38
    • Baker, F.B.1    Hubert, L.J.2
  • 4
    • 0016206886 scopus 로고
    • Numerical taxonomy with fuzzy sets
    • J.C. Bezdek Numerical taxonomy with fuzzy sets J. Math. Biol. 1974 57 71
    • (1974) J. Math. Biol. , pp. 57-71
    • Bezdek, J.C.1
  • 5
    • 0015644823 scopus 로고
    • Cluster Validity with fuzzy sets
    • J.C. Bezdek Cluster Validity with fuzzy sets J. Cybernet. 3 1974 58 78
    • (1974) J. Cybernet. , vol.3 , pp. 58-78
    • Bezdek, J.C.1
  • 7
    • 33745841541 scopus 로고    scopus 로고
    • An objective approach to cluster validation
    • M. Bourgessa, S. Wang, and H. Sun An objective approach to cluster validation Pattern Recognition Lett. 27 13 2006 1419 1430
    • (2006) Pattern Recognition Lett. , vol.27 , Issue.13 , pp. 1419-1430
    • Bourgessa, M.1    Wang, S.2    Sun, H.3
  • 9
    • 33847142393 scopus 로고    scopus 로고
    • A fuzzy extension of the Rand index and other related indexes for clustering and classification assessment
    • R.J.G.B. Campello A fuzzy extension of the Rand index and other related indexes for clustering and classification assessment Pattern Recognition Lett. 7 28 2007 833 841
    • (2007) Pattern Recognition Lett. , vol.7 , Issue.28 , pp. 833-841
    • Campello, R.J.G.B.1
  • 10
    • 0017953820 scopus 로고
    • A cluster separation measure
    • D.L. Davies, and W. Bouldin A cluster separation measure IEEE PAMI 1 1970 224 227
    • (1970) IEEE PAMI , vol.1 , pp. 224-227
    • Davies, D.L.1    Bouldin, W.2
  • 11
    • 0015644825 scopus 로고
    • A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters
    • J.C. Dunn A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters J. Cybernet. 3 1973 32 57
    • (1973) J. Cybernet. , Issue.3 , pp. 32-57
    • Dunn, J.C.1
  • 12
    • 84941155240 scopus 로고
    • Well separated clusters and optimal fuzzy partitions
    • J.C. Dunn Well separated clusters and optimal fuzzy partitions J. Cybernet. 4 1974 95 104
    • (1974) J. Cybernet. , Issue.4 , pp. 95-104
    • Dunn, J.C.1
  • 13
    • 39949085751 scopus 로고    scopus 로고
    • A density-based cluster validity approach using multi-representatives
    • M. Halkidi, and M. Vazirgiannis A density-based cluster validity approach using multi-representatives Pattern Recognittion Lett. 29 6 2008 773 786
    • (2008) Pattern Recognittion Lett. , vol.29 , Issue.6 , pp. 773-786
    • Halkidi, M.1    Vazirgiannis, M.2
  • 15
    • 85004899658 scopus 로고
    • Quadratic assignment as a general data-analysis strategy
    • L. Hubert, and J. Schultz Quadratic assignment as a general data-analysis strategy Br. J. Math. Stat. Psychol. 29 1976 190 241
    • (1976) Br. J. Math. Stat. Psychol. , vol.29 , pp. 190-241
    • Hubert, L.1    Schultz, J.2
  • 18
    • 4544263146 scopus 로고    scopus 로고
    • On cluster validity index for estimation of the optimal number of fuzzy clusters
    • D.W. Kim, H.K. Lee, and D. Lee On cluster validity index for estimation of the optimal number of fuzzy clusters Pattern Recognition 37 2004 2009 2025
    • (2004) Pattern Recognition , vol.37 , pp. 2009-2025
    • Kim, D.W.1    Lee, H.K.2    Lee, D.3
  • 19
    • 25844500444 scopus 로고    scopus 로고
    • New indices for cluster validity assessment
    • M. Kim, and R.S. Ramakrishna New indices for cluster validity assessment Pattern Recognition Lett. 26 15 2005 2353 2363
    • (2005) Pattern Recognition Lett. , vol.26 , Issue.15 , pp. 2353-2363
    • Kim, M.1    Ramakrishna, R.S.2
  • 20
    • 0036937614 scopus 로고    scopus 로고
    • Performance evaluation of some clustering algorithms and validity indices
    • U. Maulik, and S. Bandyopadhyay Performance evaluation of some clustering algorithms and validity indices IEEE Trans. Pattern Anal. Machine Intell. 24 12 2002 1650 1654
    • (2002) IEEE Trans. Pattern Anal. Machine Intell. , vol.24 , Issue.12 , pp. 1650-1654
    • Maulik, U.1    Bandyopadhyay, S.2
  • 21
    • 34250115918 scopus 로고
    • An examination of procedures for determining the number of clusters in a data set
    • G.W. Miligan, and M.C. Cooper An examination of procedures for determining the number of clusters in a data set Psychometrika 50 2 1985 159 179
    • (1985) Psychometrika , vol.50 , Issue.2 , pp. 159-179
    • Miligan, G.W.1    Cooper, M.C.2
  • 22
    • 0001699630 scopus 로고
    • Methods of comparing classifications
    • F.J. Rohlf Methods of comparing classifications Annu. Rev. Ecol. Syst. 5 1974 101 113
    • (1974) Annu. Rev. Ecol. Syst. , vol.5 , pp. 101-113
    • Rohlf, F.J.1
  • 23
    • 0014810305 scopus 로고
    • Numerical methods for fuzzy clustering
    • E.H. Ruspini Numerical methods for fuzzy clustering Inform. Sci. 2 3 1970 319 335
    • (1970) Inform. Sci. , vol.2 , Issue.3 , pp. 319-335
    • Ruspini, E.H.1
  • 24
    • 70449699857 scopus 로고    scopus 로고
    • A symmetry based multiobjective clustering technique for automatic evolution of clusters
    • S. Saha, and S. Bandyopadhyay A symmetry based multiobjective clustering technique for automatic evolution of clusters Pattern Recognition 43 3 2010 738 751
    • (2010) Pattern Recognition , vol.43 , Issue.3 , pp. 738-751
    • Saha, S.1    Bandyopadhyay, S.2
  • 25
    • 43249119791 scopus 로고    scopus 로고
    • An efficient k-means clustering algorithm
    • K.R. Žalik An efficient k-means clustering algorithm Pattern Recognition Lett. 29 9 2008 1385 1391
    • (2008) Pattern Recognition Lett. , vol.29 , Issue.9 , pp. 1385-1391
    • Žalik, K.R.1
  • 26
    • 77953617726 scopus 로고    scopus 로고
    • Cluster validity index for estimation of fuzzy clusters of different sizes and densities
    • K.R. Žalik Cluster validity index for estimation of fuzzy clusters of different sizes and densities Pattern Recognition 43 10 2010 3374 3390
    • (2010) Pattern Recognition , vol.43 , Issue.10 , pp. 3374-3390
    • Žalik, K.R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.