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Volumn 2, Issue , 2008, Pages 13-17

Clustering categorical data using silhouette coefficient as a relocating measure

Author keywords

Categorical data; Clustering; Data mining; Silhouette coefficient

Indexed keywords

CLUSTERING ALGORITHMS; DATA REDUCTION; RESOURCE ALLOCATION;

EID: 41149181402     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCIMA.2007.127     Document Type: Conference Paper
Times cited : (230)

References (14)
  • 6
    • 84961297619 scopus 로고    scopus 로고
    • Mining the Knowledge Mine: The hot spot methodology for mining Large Real World databases, Advanced Topics in Artificial Intelligence
    • Springer, Verlag
    • J.Graham Williams and Zhexue Huang,(1997) Mining the Knowledge Mine: The hot spot methodology for mining Large Real World databases, Advanced Topics in Artificial Intelligence, Lecture notes in Artificial Intelligence, Vol. 1342,pp 340-348, Springer, Verlag, 1997.
    • (1997) Lecture notes in Artificial Intelligence , vol.1342 , pp. 340-348
    • Graham Williams, J.1    Huang, Z.2
  • 8
    • 41149143260 scopus 로고    scopus 로고
    • Ohn Mar San, Van-Nam Huynh, Yoshiteru Nakamori, An Alternative Extension Of The K-Means algorithm For Clustering Categorical Data, J. Appl. Math. Comput. Sci 14, No. 2, 241-247,2004
    • Ohn Mar San, Van-Nam Huynh, Yoshiteru Nakamori, An Alternative Extension Of The K-Means algorithm For Clustering Categorical Data, J. Appl. Math. Comput. Sci Vol. 14, No. 2, 241-247,2004
  • 9
    • 34547364477 scopus 로고    scopus 로고
    • Accrue software
    • Survey of Clustering Data Mining Techniques, Technical report
    • Pavel Berkhin, Survey of Clustering Data Mining Techniques, Technical report,Accrue software,2002
    • (2002)
    • Berkhin, P.1
  • 14
    • 41149135541 scopus 로고    scopus 로고
    • www.ics.uci.edu/~mlearn/MLRepository.html


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.