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Volumn , Issue , 2013, Pages 425-428

A study on a fuzzy clustering for mixed numerical and categorical incomplete data

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTER ANALYSIS; FUZZY CLUSTERING;

EID: 84903601128     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iFuzzy.2013.6825477     Document Type: Conference Paper
Times cited : (10)

References (8)
  • 1
    • 0015644825 scopus 로고
    • A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters
    • J. C. Dunn: A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters, Journal of Cybernetics 3: 32-57, 1973.
    • (1973) Journal of Cybernetics , vol.3 , pp. 32-57
    • Dunn, J.C.1
  • 3
    • 0036779072 scopus 로고    scopus 로고
    • Alternative c-means clustering algorithms
    • Wu, K. L. and Yang, M. S.: Alternative c-means clustering algorithms, Pattern Recognition vol. 35, pp. 2267-2278, 2002.
    • (2002) Pattern Recognition , vol.35 , pp. 2267-2278
    • Wu, K.L.1    Yang, M.S.2
  • 5
    • 27144536001 scopus 로고    scopus 로고
    • Extensions to the k-means Algorithm for Clustering Large Data Sets with Categorical Values
    • Zhexue Huang: Extensions to the k-means Algorithm for Clustering Large Data Sets with Categorical Values, Data Mining and Knowledge Discovery 2, pp.283-304, 1998
    • (1998) Data Mining and Knowledge Discovery , vol.2 , pp. 283-304
    • Huang, Z.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.