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Volumn 7268 LNAI, Issue PART 2, 2012, Pages 120-127

A clustering algorithm based on distinguishability for nominal attributes

Author keywords

cluster analysis; nominal attributes; sets theory

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; COMPUTATION THEORY; HIERARCHICAL CLUSTERING; SOFT COMPUTING;

EID: 84861049710     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-29350-4_14     Document Type: Conference Paper
Times cited : (4)

References (11)
  • 2
    • 0015644825 scopus 로고
    • A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters
    • Dunn, J.C.: 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
  • 6
    • 0014129195 scopus 로고
    • Hierarchical clustering schemes
    • Johnson, S.C.: Hierarchical Clustering Schemes. Psychometrika 2, 241-254 (1967)
    • (1967) Psychometrika , vol.2 , pp. 241-254
    • Johnson, S.C.1
  • 10
    • 0001457509 scopus 로고
    • Some methods for classification and analysis of multivariate observations
    • University of California Press, Berkeley
    • MacQueen, J.B.: Some Methods for classification and Analysis of Multivariate Observations. In: Proceedings of 5th Berkeley Symposium on Mathematical Statistics and Probability, vol. 1, pp. 281-297. University of California Press, Berkeley (1967)
    • (1967) Proceedings of 5th Berkeley Symposium on Mathematical Statistics and Probability , vol.1 , pp. 281-297
    • MacQueen, J.B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.