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Volumn , Issue , 2008, Pages 149-156

Unsupervised Divisive Classification

Author keywords

Bumps and multi modalities; Clustering problem; Clustering tree method; Divisive clustering method; Homogeneous and non homogeneous Poisson process; Kernel method and smoothing parameter; Pruning method

Indexed keywords


EID: 79953060927     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1002/9780470723562.ch9     Document Type: Chapter
Times cited : (8)

References (9)
  • 3
    • 0032154982 scopus 로고    scopus 로고
    • A montothetic clustering method
    • Chavent, M. (1998) A montothetic clustering method. Pattern Recognition Letters, 19: 989-996.
    • (1998) Pattern Recognition Letters , vol.19 , pp. 989-996
    • Chavent, M.1
  • 4
    • 0012393548 scopus 로고    scopus 로고
    • Dynamical clustering of interval data: Optimization of an adequacy criterion based on Hausdorff distance
    • K. Jajuga, A. Sokolowski and H.-H. Bock (eds), Berlin: Springer-Verlag.
    • Chavent, M. and Lechevallier, Y. (2002) Dynamical clustering of interval data: Optimization of an adequacy criterion based on Hausdorff distance. In K. Jajuga, A. Sokolowski and H.-H. Bock (eds), Classification, Clustering, and Data Analysis, pp. 53-60. Berlin: Springer-Verlag.
    • (2002) Classification, Clustering, and Data Analysis , pp. 53-60
    • Chavent, M.1    Lechevallier, Y.2
  • 5
    • 0024176988 scopus 로고
    • General metrics for mixed features-the cartesian space theory for pattern recognition
    • Beijing: International Academic Publishers
    • Ichino, M. (1988) General metrics for mixed features-the cartesian space theory for pattern recognition. In Proceedings of the 1988 IEEE International Conference on Systems, Man and Cybernetics, Volume 1, pp. 494-497. Beijing: International Academic Publishers.
    • (1988) Proceedings of the 1988 IEEE International Conference on Systems, Man and Cybernetics , vol.1 , pp. 494-497
    • Ichino, M.1
  • 7
    • 0004765848 scopus 로고
    • The gap test: an optimal method for determining the number of natural classes in cluster analysis
    • E. Diday, Y. Lechevallier, M. Schader, P. Bertrand and B. Burtschy (eds), Berlin: Springer-Verlag.
    • Rasson, J.P. and Kubushishi, T. (1994) The gap test: an optimal method for determining the number of natural classes in cluster analysis. In E. Diday, Y. Lechevallier, M. Schader, P. Bertrand and B. Burtschy (eds), New Approaches in Classification and Data Analysis, pp. 186-193. Berlin: Springer-Verlag.
    • (1994) New Approaches in Classification and Data Analysis , pp. 186-193
    • Rasson, J.P.1    Kubushishi, T.2
  • 8
    • 0002333325 scopus 로고
    • Using kernel density estimates to investigate multimodality
    • Silverman, B. (1981) Using kernel density estimates to investigate multimodality. Journal of Royal Statistic Society B, 43: 97-99.
    • (1981) Journal of Royal Statistic Society B , vol.43 , pp. 97-99
    • Silverman, B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.