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Volumn , Issue , 2004, Pages 536-543

Entropy-based criterion in categorical clustering

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; DATA REDUCTION; DATABASE SYSTEMS; MATHEMATICAL MODELS; MONTE CARLO METHODS; OPTIMIZATION; VECTORS;

EID: 14344259208     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (119)

References (20)
  • 2
    • 0031506140 scopus 로고    scopus 로고
    • Two variant axiom systems for presence/absence based dissimilarity coefficients
    • Baulieu, F. B. (1997). Two variant axiom systems for presence/absence based dissimilarity coefficients. Journal of Classification, 14, 159-170.
    • (1997) Journal of Classification , vol.14 , pp. 159-170
    • Baulieu, F.B.1
  • 4
    • 0002969516 scopus 로고
    • Probabilistic aspects in cluster analysis
    • O. Opitz (Ed.). Berlin: Springer-verlag
    • Bock, H.-H. (1989). Probabilistic aspects in cluster analysis. In O. Opitz (Ed.), Conceptual and numerical analysis of data, 12-44. Berlin: Springer-verlag.
    • (1989) Conceptual and Numerical Analysis of Data , pp. 12-44
    • Bock, H.-H.1
  • 5
    • 0000306608 scopus 로고
    • Clustering criteria for discrete data and latent class models
    • Celeux, G., & Govaert, G. (1991). Clustering criteria for discrete data and latent class models. Journal of Classification, 8, 157-176.
    • (1991) Journal of Classification , vol.8 , pp. 157-176
    • Celeux, G.1    Govaert, G.2
  • 9
    • 0034228041 scopus 로고    scopus 로고
    • ROCK: A robust clustering algorithm for categorical attributes
    • Guha, S., Rastogi, R., & Shim, K. (2000). ROCK: A robust clustering algorithm for categorical attributes. Information Systems, 25, 345-366.
    • (2000) Information Systems , vol.25 , pp. 345-366
    • Guha, S.1    Rastogi, R.2    Shim, K.3
  • 11
    • 0002453010 scopus 로고
    • Quantification method of classification processes: Concept of structrual a-entropy
    • Havrda, J., & Charvat, F. (1967). Quantification method of classification processes: Concept of structrual a-entropy. Kybernetika, 3, 30-35.
    • (1967) Kybernetika , vol.3 , pp. 30-35
    • Havrda, J.1    Charvat, F.2
  • 12
    • 27144536001 scopus 로고    scopus 로고
    • Extensions to the k-means algorithm for clustering large data sets with categorical values
    • Huang, Z. (1998). Extensions to the k-means algorithm for clustering large data sets with categorical values. Data Mining and Knowledge Discovery, 2, 283-304.
    • (1998) Data Mining and Knowledge Discovery , vol.2 , pp. 283-304
    • Huang, Z.1
  • 14
    • 7244220821 scopus 로고    scopus 로고
    • Efficient multi-way text categorization via generalized discriminant analysis
    • Li, T., Zhu, S., & Ogihara, M. (2003). Efficient multi-way text categorization via generalized discriminant analysis. Proceedings of Twelfth ACM CIKM Conference (pp. 317-324).
    • (2003) Proceedings of Twelfth ACM CIKM Conference , pp. 317-324
    • Li, T.1    Zhu, S.2    Ogihara, M.3
  • 18
    • 0002643871 scopus 로고
    • Clustering criteria and multivariate normal mixtures
    • Symons, M. J. (1981). Clustering criteria and multivariate normal mixtures. Biometrics, 37, 35-43.
    • (1981) Biometrics , vol.37 , pp. 35-43
    • Symons, M.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.