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Volumn 3, Issue , 2004, Pages 1497-1500

LVQ clustering and SOM using a kernel function

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; DATA CLUSTERING; KERNEL FUNCTIONS; LEARNING VECTOR QUANTIZATION (LVQ);

EID: 11144301886     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZY.2004.1375395     Document Type: Conference Paper
Times cited : (48)

References (10)
  • 3
    • 0036565280 scopus 로고    scopus 로고
    • Mercer kernel based clustering in feature space
    • M. Girolami, Mercer kernel based clustering in feature space, IEEE Trans. on Neural Network, Vol.13, No.13, pp. 780-784, 2002.
    • (2002) IEEE Trans. on Neural Network , vol.13 , Issue.13 , pp. 780-784
    • Girolami, M.1
  • 5
    • 9444257009 scopus 로고    scopus 로고
    • Evaluation of topographic clustering and its kernelization
    • N. LavraČ et al., eds., ECML 2003, Springer, Berlin
    • M.-J. Lesot, F. d'Alché-Buc, G. Siolas, Evaluation of Topographic Clustering and Its Kernelization, In N. LavraČ et al., eds., ECML 2003, LNAI 2837, Springer, Berlin, pp. 265-276, 2003.
    • (2003) LNAI , vol.2837 , pp. 265-276
    • Lesot, M.-J.1    D'Alché-Buc, F.2    Siolas, G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.