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Volumn 3, Issue , 2001, Pages 1810-1815

Simultaneous approach to principal component analysis and fuzzy clustering with missing values

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; DATA STRUCTURES; DATABASE SYSTEMS; LEAST SQUARES APPROXIMATIONS; MATRIX ALGEBRA; MAXIMUM LIKELIHOOD ESTIMATION; MEMBERSHIP FUNCTIONS; OPTIMIZATION; PRINCIPAL COMPONENT ANALYSIS; VECTORS;

EID: 0035792458     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (11)
  • 3
    • 85011201002 scopus 로고
    • A PCA-like method for multivariate data with missing values
    • (in Japanese)
    • T. Shibayama, "A PCA-Like Method for Multivariate Data with Missing Values," Japanese Journal of Educational Psychology, Vol. 40, 1992, pp 257-265 (in Japanese)
    • (1992) Japanese Journal of Educational Psychology , vol.40 , pp. 257-265
    • Shibayama, T.1
  • 4
    • 0029373923 scopus 로고
    • Principal component analysis with missing data and its application to polyhedral object modeling
    • H. Shum, K. Ikeuchi, and R. Reddy, "Principal Component Analysis with Missing Data and its Application to Polyhedral Object Modeling," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 17, No.9, 1995, pp 854-867
    • (1995) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.17 , Issue.9 , pp. 854-867
    • Shum, H.1    Ikeuchi, K.2    Reddy, R.3
  • 7
    • 0000159475 scopus 로고
    • Detection and characterization of cluster substructure 2. Fuzzy c-varieties and convex combinations thereof
    • J. C. Bezdek, C. Coray, R. Gunderson, and J. Watson, "Detection and Characterization of Cluster Substructure 2. Fuzzy c-Varieties and Convex Combinations Thereof," SIAM J. Appl. Math., Vol. 40, No. 2, 1981, pp 358-372
    • (1981) SIAM J. Appl. Math. , vol.40 , Issue.2 , pp. 358-372
    • Bezdek, J.C.1    Coray, C.2    Gunderson, R.3    Watson, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.