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Volumn 28, Issue 2, 2011, Pages 210-226

A New Dimension Reduction Method: Factor Discriminant K-means

Author keywords

Cluster analysis; Dimension reduction; K Means; Principal Component Analysis

Indexed keywords


EID: 79960559613     PISSN: 01764268     EISSN: 14321343     Source Type: Journal    
DOI: 10.1007/s00357-011-9085-9     Document Type: Article
Times cited : (17)

References (11)
  • 1
    • 0009238945 scopus 로고
    • On the Interface Between Cluster Analysis, Principal Components, and Multidimensional Scaling
    • Knoxville, Tennessee, May 15-16, 1986, eds. H. Bozdogan and A. J. Gupta, Dordrecht: Reidel Publishing Co
    • Bock, H. H. (1987), "On the Interface Between Cluster Analysis, Principal Components, and Multidimensional Scaling", in: Multivariate Statistical Modeling and Data Analysis, Proceedings of Advances Symposium on Multivariate Modeling and Data Analysis, Knoxville, Tennessee, May 15-16, 1986, eds. H. Bozdogan and A. J. Gupta, Dordrecht: Reidel Publishing Co., pp. 17-34.
    • (1987) Multivariate Statistical Modeling and Data Analysis, Proceedings of Advances Symposium on Multivariate Modeling and Data Analysis , pp. 17-34
    • Bock, H.H.1
  • 4
    • 0004408560 scopus 로고
    • in New Approaches in Classification and Data Analysis, eds. E. Diday et al., Heidelberg: Springer
    • De Soete, G., and Carroll, J. D., (1994). "K-means Clustering in a Low-dimensional Euclidean Space", in New Approaches in Classification and Data Analysis, eds. E. Diday et al., Heidelberg: Springer, pp. 212-219.
    • (1994) K-means Clustering in a Low-dimensional Euclidean Space , pp. 212-219
    • De Soete, G.1    Carroll, J.D.2
  • 9
    • 0001543785 scopus 로고
    • Clustering n Objects into k groups Under Optimal Scaling of Variables
    • van Buuren, S., and Heiser, W. J. (1989), "Clustering n Objects into k groups Under Optimal Scaling of Variables", Psychometrika, 54, 699-706.
    • (1989) Psychometrika , vol.54 , pp. 699-706
    • van Buuren, S.1    Heiser, W.J.2
  • 11
    • 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. (2007), "Simultaneous Component and Clustering Models for Three-way Data: Within and Between Approaches", Journal of Classification, 24(1), 71-98.
    • (2007) Journal of Classification , vol.24 , Issue.1 , pp. 71-98
    • Vichi, M.1    Rocci, R.2    Kiers, H.A.L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.