메뉴 건너뛰기




Volumn 46, Issue 1, 2013, Pages 243-256

An extensive comparative study of cluster validity indices

Author keywords

Cluster validity index; Comparative analysis; Crisp clustering

Indexed keywords

CLUSTER VALIDATION; CLUSTER VALIDITY INDICES; CLUSTERING PROCESS; COMPARATIVE ANALYSIS; COMPARATIVE STUDIES; CRISP CLUSTERING;

EID: 84866018958     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2012.07.021     Document Type: Article
Times cited : (1065)

References (46)
  • 6
    • 4043077037 scopus 로고    scopus 로고
    • A new cluster validity measure and its application to image compression
    • C.-H. Chou, M.-C. Su, and E. Lai A new cluster validity measure and its application to image compression Pattern Analysis and Applications 7 2004 205 220
    • (2004) Pattern Analysis and Applications , vol.7 , pp. 205-220
    • Chou, C.-H.1    Su, M.-C.2    Lai, E.3
  • 8
    • 0031166291 scopus 로고    scopus 로고
    • Cluster validation using graph theoretic concepts
    • N.R. Pal, and J. Biswas Cluster validation using graph theoretic concepts Pattern Recognition 30 1997 847 857
    • (1997) Pattern Recognition , vol.30 , pp. 847-857
    • Pal, N.R.1    Biswas, J.2
  • 11
    • 67349143735 scopus 로고    scopus 로고
    • Characterization and evaluation of similarity measures for pairs of clusterings
    • D. Pfitzner, R. Leibbrandt, and D. Powers Characterization and evaluation of similarity measures for pairs of clusterings Knowledge and Information Systems 19 2009 361 394
    • (2009) Knowledge and Information Systems , vol.19 , pp. 361-394
    • Pfitzner, D.1    Leibbrandt, R.2    Powers, D.3
  • 13
    • 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 Journal of Cybernetics 3 1973 32 57
    • (1973) Journal of Cybernetics , vol.3 , pp. 32-57
    • Dunn, J.C.1
  • 17
    • 0023491749 scopus 로고
    • Bootstrap technique in cluster analysis
    • A.K. Jain, and J. Moreau Bootstrap technique in cluster analysis Pattern Recognition 20 1987 547 568
    • (1987) Pattern Recognition , vol.20 , pp. 547-568
    • Jain, A.K.1    Moreau, J.2
  • 18
    • 0036011451 scopus 로고    scopus 로고
    • An examination of indexes for determining the number of clusters in binary data sets
    • E. Dimitriadou, S. Dolňicar, and A. Weingessel An examination of indexes for determining the number of clusters in binary data sets Psychometrika 67 2002 137 159
    • (2002) Psychometrika , vol.67 , pp. 137-159
    • Dimitriadou, E.1    Dolňicar, S.2    Weingessel, A.3
  • 20
    • 34250115918 scopus 로고
    • An examination of procedures for determining the number of clusters in a data set
    • G.W. Milligan, and M.C. Cooper An examination of procedures for determining the number of clusters in a data set Psychometrika 50 1985 159 179
    • (1985) Psychometrika , vol.50 , pp. 159-179
    • Milligan, G.W.1    Cooper, M.C.2
  • 21
    • 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 Recognition Letters 20 2008 773 786
    • (2008) Pattern Recognition Letters , vol.20 , pp. 773-786
    • Halkidi, M.1    Vazirgiannis, M.2
  • 23
    • 70449703225 scopus 로고    scopus 로고
    • Normality-based validation for crisp clustering
    • L.F. Lago-Fernández, and F. Corbacho Normality-based validation for crisp clustering Pattern Recognition 43 2010 782 795
    • (2010) Pattern Recognition , vol.43 , pp. 782-795
    • Lago-Fernández, L.F.1    Corbacho, F.2
  • 24
    • 78649332539 scopus 로고    scopus 로고
    • Validity index for clusters of different sizes and densities
    • K.R. Žalik, and B. Žalik Validity index for clusters of different sizes and densities Pattern Recognition Letters 32 2011 221 234
    • (2011) Pattern Recognition Letters , vol.32 , pp. 221-234
    • Žalik, K.R.1    Žalik, B.2
  • 25
    • 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 Letters 26 2005 2353 2363
    • (2005) Pattern Recognition Letters , vol.26 , pp. 2353-2363
    • Kim, M.1    Ramakrishna, R.S.2
  • 27
    • 0023523514 scopus 로고
    • How many clusters are best? - An experiment
    • R.C. Dubes How many clusters are best? - an experiment Pattern Recognition 20 1987 645 663
    • (1987) Pattern Recognition , vol.20 , pp. 645-663
    • Dubes, R.C.1
  • 30
  • 35
    • 0001518855 scopus 로고
    • A general statistical framework for assessing categorical clustering in free recall
    • L.J. Hubert, and J.R. Levin A general statistical framework for assessing categorical clustering in free recall Psychological Bulletin 83 1976 1072 1080
    • (1976) Psychological Bulletin , vol.83 , pp. 1072-1080
    • Hubert, L.J.1    Levin, J.R.2
  • 36
    • 0023453329 scopus 로고
    • Silhouettes a graphical aid to the interpretation and validation of cluster analysis
    • P. Rousseeuw Silhouettes a graphical aid to the interpretation and validation of cluster analysis Journal of Computational and Applied Mathematics 20 1987 53 65
    • (1987) Journal of Computational and Applied Mathematics , vol.20 , pp. 53-65
    • Rousseeuw, P.1
  • 40
    • 77953613095 scopus 로고    scopus 로고
    • SEP/COP an efficient method to find the best partition in hierarchical clustering based on a new cluster validity index
    • I. Gurrutxaga, I. Albisua, O. Arbelaitz, J.I. Martín, J. Muguerza, J.M. Pérez, and I. Perona SEP/COP an efficient method to find the best partition in hierarchical clustering based on a new cluster validity index Pattern Recognition 43 2010 3364 3373
    • (2010) Pattern Recognition , vol.43 , pp. 3364-3373
    • Gurrutxaga, I.1    Albisua, I.2    Arbelaitz, O.3    Martín, J.I.4    Muguerza, J.5    Pérez, J.M.6    Perona, I.7
  • 44
    • 29644438050 scopus 로고    scopus 로고
    • Statistical comparisons of classifiers over multiple data sets
    • J. Demsar Statistical comparisons of classifiers over multiple data sets Journal of Machine Learning Research 7 2006 1 30
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 1-30
    • Demsar, J.1
  • 45
    • 0000259511 scopus 로고    scopus 로고
    • Approximate statistical tests for comparing supervised classification learning algorithms
    • T.G. Dietterich Approximate statistical tests for comparing supervised classification learning algorithms Neural Computation 10 1998 1895 1924
    • (1998) Neural Computation , vol.10 , pp. 1895-1924
    • Dietterich, T.G.1
  • 46
    • 58149287952 scopus 로고    scopus 로고
    • An extension on statistical comparisons of classifiers over multiple data sets for all pairwise comparisons
    • S. García, and F. Herrera An extension on statistical comparisons of classifiers over multiple data sets for all pairwise comparisons Journal of Machine Learning Research 9 2008 2677 2694
    • (2008) Journal of Machine Learning Research , vol.9 , pp. 2677-2694
    • García, S.1    Herrera, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.