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Volumn 53, Issue 8, 2009, Pages 3194-3208

Clustering and disjoint principal component analysis

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; COMPUTATIONAL FLUID DYNAMICS;

EID: 62849102881     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2008.05.028     Document Type: Article
Times cited : (72)

References (15)
  • 1
    • 84937549955 scopus 로고
    • The scree test for the number of factors
    • Cattell R.B. The scree test for the number of factors. Multivariate Behavioral Research 1 (1966) 245-276
    • (1966) Multivariate Behavioral Research , vol.1 , pp. 245-276
    • Cattell, R.B.1
  • 2
    • 0000845050 scopus 로고
    • Simultaneous multidimensional unfolding and cluster analysis: An investigation of strategic groups
    • DeSarbo W.S., Jedidi K., Cool K., and Schendel D. Simultaneous multidimensional unfolding and cluster analysis: An investigation of strategic groups. Marketing Letters 2 (1990) 129-146
    • (1990) Marketing Letters , vol.2 , pp. 129-146
    • DeSarbo, W.S.1    Jedidi, K.2    Cool, K.3    Schendel, D.4
  • 3
    • 0004408560 scopus 로고
    • K-means clustering in a low-dimensional Euclidean space
    • Diday E., et al. (Ed), Springer, Heidelberg
    • De Soete G., and Carroll J.D. K-means clustering in a low-dimensional Euclidean space. In: Diday E., et al. (Ed). New Approaches in Classification and Data Analysis (1994), Springer, Heidelberg 212-219
    • (1994) New Approaches in Classification and Data Analysis , pp. 212-219
    • De Soete, G.1    Carroll, J.D.2
  • 4
    • 21344498586 scopus 로고
    • A latent class unfolding model for analyzing single stimulus preference ratings
    • De Soete G., and Heiser W.J. A latent class unfolding model for analyzing single stimulus preference ratings. Psychometrika 58 (1993) 545-565
    • (1993) Psychometrika , vol.58 , pp. 545-565
    • De Soete, G.1    Heiser, W.J.2
  • 5
    • 77956887176 scopus 로고
    • The biplot graphic display of matrices with application to principal component analysis
    • Gabriel K.R. The biplot graphic display of matrices with application to principal component analysis. Biometrika 58 (1971) 453-467
    • (1971) Biometrika , vol.58 , pp. 453-467
    • Gabriel, K.R.1
  • 6
    • 0004377499 scopus 로고
    • Clustering in low-dimensional space
    • Opitz O., Lausen B., and Klar R. (Eds), Springer-Verlag, Berlin
    • Heiser W.J. Clustering in low-dimensional space. In: Opitz O., Lausen B., and Klar R. (Eds). Information and Classification (1993), Springer-Verlag, Berlin 162-173
    • (1993) Information and Classification , pp. 162-173
    • Heiser, W.J.1
  • 7
    • 0031508490 scopus 로고    scopus 로고
    • Cluster differences scaling with a within-clusters loss component and a fuzzy successive approximation strategy to avoid local minima
    • Heiser W.J., and Groenen P.J.F. Cluster differences scaling with a within-clusters loss component and a fuzzy successive approximation strategy to avoid local minima. Psychometrika 62 (1997) 63-83
    • (1997) Psychometrika , vol.62 , pp. 63-83
    • Heiser, W.J.1    Groenen, P.J.F.2
  • 8
    • 34250922831 scopus 로고
    • The varimax criterion for analytic rotation in factor analysis
    • Kaiser H.F. The varimax criterion for analytic rotation in factor analysis. Psychometrika 23 (1958) 187-200
    • (1958) Psychometrika , vol.23 , pp. 187-200
    • Kaiser, H.F.1
  • 9
    • 34250115918 scopus 로고
    • An estimation of procedures for determining the number of clusters in a data set
    • Milligan G.W., and Cooper M. An estimation 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.2
  • 11
    • 32344447872 scopus 로고    scopus 로고
    • Double k-means clustering for simultaneous classification of objects and variables
    • Advances in Classification and Data Analysis. Borra, et al. (Ed), Springer-Verlag, Heidelberg. 3-540-41488-6
    • Vichi M. Double k-means clustering for simultaneous classification of objects and variables. In: Borra, et al. (Ed). Advances in Classification and Data Analysis. Series Studies in Classification, Data Analysis, and Knowledge Organization (2000), Springer-Verlag, Heidelberg. 3-540-41488-6 43-52
    • (2000) Series Studies in Classification, Data Analysis, and Knowledge Organization , pp. 43-52
    • Vichi, M.1
  • 12
    • 62849127321 scopus 로고    scopus 로고
    • Discrete and continuous models for two way data (2002)
    • Classification Automation and New Media. Gaul W., and Ritter G. (Eds), Springer, Heidelberg
    • Vichi M. Discrete and continuous models for two way data (2002). Classification Automation and New Media. In: Gaul W., and Ritter G. (Eds). Studies in Classification, Data Analysis and Knowledge Organization (2002), Springer, Heidelberg 139-147
    • (2002) Studies in Classification, Data Analysis and Knowledge Organization , pp. 139-147
    • Vichi, M.1
  • 13
    • 34250856819 scopus 로고    scopus 로고
    • Simultaneous component and clustering models for three-way data: Within and between approaches
    • Vichi M., Rocci R., and Kiers H.A.L. Simultaneous component and clustering models for three-way data: Within and between approaches. Journal of Classification 24 1 (2007) 71-98
    • (2007) Journal of Classification , vol.24 , Issue.1 , pp. 71-98
    • Vichi, M.1    Rocci, R.2    Kiers, H.A.L.3
  • 14
    • 0242382684 scopus 로고    scopus 로고
    • Clustering of variables around latent component - application to sensory analysis
    • Vigneau E., and Qannari E.M. Clustering of variables around latent component - application to sensory analysis. Communications in Statistics, Simulation and Computation 32 4 (2004) 1131-1150
    • (2004) Communications in Statistics, Simulation and Computation , vol.32 , Issue.4 , pp. 1131-1150
    • Vigneau, E.1    Qannari, E.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.