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Volumn 4, Issue 4, 1993, Pages 549-557

Generalized Clustering Networks and Kohonen’s Self-Organizing Scheme

Author keywords

Cluster analysis; Kohonen; learning vector quantization; self organization

Indexed keywords

ALGORITHMS; DATA REDUCTION; LEARNING SYSTEMS; MATHEMATICAL TECHNIQUES; OPTIMIZATION; VECTORS;

EID: 0027634778     PISSN: 10459227     EISSN: 19410093     Source Type: Journal    
DOI: 10.1109/72.238310     Document Type: Article
Times cited : (338)

References (18)
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    • Parallel self-organizing feature maps for unsupervised pattern recognition
    • T. Huntsberger and P. Ajjimarangsee, “Parallel self-organizing feature maps for unsupervised pattern recognition,” Int. J. General Systems, vol. 16, pp. 357–372, 1989.
    • (1989) Int. J. General Systems , vol.16 , pp. 357-372
    • Huntsberger, T.1    Ajjimarangsee, P.2
  • 9
    • 0003023542 scopus 로고
    • Self-organizing maps: optimization approach
    • T. Kohonen, K. Makisara, O. Simula, and J. Kangas, Eds. New York: Elsevier
    • T. Kohonen, “Self-organizing maps: optimization approach,” in Artificial Neural Networks, T. Kohonen, K. Makisara, O. Simula, and J. Kangas, Eds. New York: Elsevier, 1991, pp. 981–990.
    • (1991) Artificial Neural Networks , pp. 981-990
    • Kohonen, T.1
  • 11
    • 0000016172 scopus 로고
    • A stochastic approximation method
    • H. Robbins and S. Monro, “A stochastic approximation method,” Ann. Math. Stat., vol. 22, pp. 400–407, 1951.
    • (1951) Ann. Math. Stat. , vol.22 , pp. 400-407
    • Robbins, H.1    Monro, S.2
  • 14
    • 0001457509 scopus 로고
    • Classification and analysis of multivariate observations, Some methods for classification and analysis of multivariate observations
    • J. MacQueen, “Classification and analysis of multivariate observations, Some methods for classification and analysis of multivariate observations,” in Proc. 5th Berkeley Symp. Math. Stat. and Prob., 1967, pp. 281–297.
    • (1967) Proc. 5th Berkeley Symp. Math. Stat. and Prob. , pp. 281-297
    • MacQueen, J.1
  • 18
    • 0000014486 scopus 로고
    • Cluster analysis of multivariate data: Efficiency versus interpretability of classifications
    • June
    • E. Forgy, “Cluster analysis of multivariate data: Efficiency versus interpretability of classifications,” WNAR Meetings, Univ. of California, Riverside, June 22–23, 1965 (Biometrics, 21(3)).
    • (1965) WNAR Meetings, Univ , vol.21 , Issue.3 , pp. 22-23
    • Forgy, E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.