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Volumn 41, Issue 12, 2012, Pages 2279-2280

Erratum: A dendrite method for cluster analysis" by caliski and harabasz: AA classical work that is far too often incorrectly cited

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EID: 84862011637     PISSN: 03610926     EISSN: 1532415X     Source Type: Journal    
DOI: 10.1080/03610926.2011.560741     Document Type: Erratum
Times cited : (36)

References (12)
  • 1
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    • A dendrite method for cluster analysis
    • Caliński, T., Harabasz, J. (1974). A dendrite method for cluster analysis. Commun. Statist. 3(1):1-27.
    • (1974) Commun. Statist. , vol.3 , Issue.1 , pp. 1-27
    • Caliński, T.1    Harabasz, J.2
  • 2
    • 77953146322 scopus 로고    scopus 로고
    • Clues: An R package for nonparametric clustering based on local shrinking
    • Chang, F., Qiu, W., Zamar, R. H., Lazarus, R., Wang, X. (2010). Clues: An R package for nonparametric clustering based on local shrinking. J. Statist. Software 33(4):1-16.
    • (2010) J. Statist. Software , vol.33 , Issue.4 , pp. 1-16
    • Chang, F.1    Qiu, W.2    Zamar, R.H.3    Lazarus, R.4    Wang, X.5
  • 5
    • 84862010661 scopus 로고    scopus 로고
    • Fpc: Flexible procedures for clustering
    • Hennig, C. (2010). fpc: Flexible procedures for clustering. R package version 2:0-3. http://CRAN.R-project.org/package=fpc.
    • (2010) R Package Version , vol.2 , pp. 0-3
    • Hennig, C.1
  • 7
    • 77649206378 scopus 로고    scopus 로고
    • A distance-based framework for measuring functional diversity from multiple traits
    • Laliberté, E., Legendre, P. (2010) A distance-based framework for measuring functional diversity from multiple traits. Ecology 91:299-305.
    • (2010) Ecology , vol.91 , pp. 299-305
    • Laliberté, E.1    Legendre, P.2
  • 8
    • 84885616174 scopus 로고    scopus 로고
    • FD: Measuring functional diversity from multiple traits, and other tools for functional ecology
    • Laliberté, E., Shipley, B. (2010). FD: Measuring functional diversity from multiple traits, and other tools for functional ecology. R package version 1.0-9.
    • (2010) R Package Version 1.0-9
    • Laliberté, E.1    Shipley, B.2
  • 9
    • 34250115918 scopus 로고
    • An examination of procedures for determining the number of clusters in a data set
    • Milligan, G. W., Cooper, M. C. (1985). An examination of procedures for determining the number of clusters in a data set. Psychometrika 50:159-179.
    • (1985) Psychometrika , vol.50 , pp. 159-179
    • Milligan, G.W.1    Cooper, M.C.2
  • 11
    • 79951480123 scopus 로고    scopus 로고
    • R Development Core Team, Vienna: R Foundation for Statistical Computing
    • R Development Core Team (2010). R: A Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing. http://www.R-project.org.
    • (2010) R: A Language and Environment for Statistical Computing
  • 12
    • 84862013935 scopus 로고    scopus 로고
    • ClusterSim: Searching for optimal clustering procedure for a data set
    • Walesiak, M., Dudek, A. (2010). clusterSim: Searching for optimal clustering procedure for a data set. R package version 0:38-2. http://CRAN.R-project.org/package=clusterSim
    • (2010) R Package Version 0 , pp. 38-42
    • Walesiak, M.1    Dudek, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.