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Volumn 32, Issue 2, 1999, Pages 193-202

High-dimensional clustering using frequency sensitive competitive learning

Author keywords

Frequency sensitive competitive learning; High dimensional clustering; Texture classification

Indexed keywords

ALGORITHMS; LEARNING SYSTEMS; TEXTURES;

EID: 0033078882     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(98)00136-8     Document Type: Article
Times cited : (9)

References (12)
  • 4
    • 0029752880 scopus 로고    scopus 로고
    • A self-organizing network for hyper-ellipsoidal clustering(HEC)
    • [4] J. Mao, A.K. Jain, A self-organizing network for hyper-ellipsoidal clustering(HEC), IEEE Trans. Neural Networks 7(1) (1996) 16-29.
    • (1996) IEEE Trans. Neural Networks , vol.7 , Issue.1 , pp. 16-29
    • Mao, J.1    Jain, A.K.2
  • 6
    • 0000235019 scopus 로고
    • A study of standardization of variables in cluster analysis
    • [6] G. W. Milligan, M.C. Cooper, A study of standardization of variables in cluster analysis, J. classification 5 (1988) 181-204.
    • (1988) J. Classification , vol.5 , pp. 181-204
    • Milligan, G.W.1    Cooper, M.C.2
  • 8
    • 0031233465 scopus 로고    scopus 로고
    • Diffusion approximation of frequency sensitive competitive learning
    • [8] A.S. Galanopoulos, R.L. Moses, S.C. Ahalt, Diffusion approximation of frequency sensitive competitive learning, IEEE Trans. Neural Networks 8(5) (1997) 1026-1030.
    • (1997) IEEE Trans. Neural Networks , vol.8 , Issue.5 , pp. 1026-1030
    • Galanopoulos, A.S.1    Moses, R.L.2    Ahalt, S.C.3
  • 12
    • 0026927227 scopus 로고
    • An efficient approach to estimate fractal dimension of textural images
    • [12] N. Sarkal, B. Chaudhuri, An efficient approach to estimate fractal dimension of textural images, Pattern Recognition 25 (1992) 1035-1041.
    • (1992) Pattern Recognition , vol.25 , pp. 1035-1041
    • Sarkal, N.1    Chaudhuri, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.