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Volumn 5286, Issue 1, 2003, Pages 171-174

A GA-Based Clustering Algorithm for Large Data Sets with Mixed Numeric and Categorical Values

Author keywords

Categorical data; Cluster analysis; Genetic algorithm; Numeric data

Indexed keywords

COMPUTER SIMULATION; FUNCTIONS; GENETIC ALGORITHMS; MATHEMATICAL OPERATORS; MATRIX ALGEBRA; PROBABILITY; PROBLEM SOLVING;

EID: 1242330337     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.538864     Document Type: Conference Paper
Times cited : (7)

References (6)
  • 2
    • 0003578015 scopus 로고
    • Heinemann Educational Books Ltd.
    • B. Everitt. Cluster Analysis. Heinemann Educational Books Ltd., 1974.
    • (1974) Cluster Analysis
    • Everitt, B.1
  • 3
    • 0032595161 scopus 로고    scopus 로고
    • A fuzzy k-modes algorithm for clustering categorical data
    • August
    • Zhexue Huang, Michael K.Ng. A fuzzy k-modes algorithm for clustering categorical data. IEEE Trans. on Fuzzy Systems, 7(4): 446-452, August, 1999.
    • (1999) IEEE Trans. on Fuzzy Systems , vol.7 , Issue.4 , pp. 446-452
    • Huang, Z.1    Michael, K.Ng.2
  • 4
    • 0010486274 scopus 로고    scopus 로고
    • A fast clustering algorithm to cluster very large categorical data sets in data Mining
    • Dept. of Computer Science, The University of British Columbia, Canada
    • Zhexue Huang. A fast clustering algorithm to cluster very large categorical data sets in data Mining. Proceedings of the SIGMOD Workshop on Research Issues on Data Mining and Knowledge Discovery, Dept. of Computer Science, The University of British Columbia, Canada, pp.1-8.
    • Proceedings of the SIGMOD Workshop on Research Issues on Data Mining and Knowledge Discovery , pp. 1-8
    • Huang, Z.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.