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Volumn FS-10-06, Issue , 2010, Pages 28-31

Hierarchical clustering via localized diffusion folders

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS;

EID: 79960118328     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (10)
  • 2
    • 0003408496 scopus 로고    scopus 로고
    • Dept. Information and Computer Science, Irvine, CA, USA
    • Blake, C., and Merz, C. 1998. Uci repository of machine learning databases. University of California, Dept. Information and Computer Science, Irvine, CA, USA, http://www.ics.uci.edu/mlearn/MLRepository.html.
    • (1998) Uci Repository of Machine Learning Databases
    • Blake, C.1    Merz, C.2
  • 5
    • 33745398604 scopus 로고    scopus 로고
    • Geometric harmonics: A novel tool for multiscale out-of-sample extension of empirical functions
    • DOI 10.1016/j.acha.2005.07.005, PII S1063520306000522
    • Coifman, R. R., and Lafon, S. 2006b. Geometric harmonics: a novel tool for multiscale out-of-sample extension of empirical functions. Applied and Computational Harmonic Analysis 21(1):31-52. (Pubitemid 43947617)
    • (2006) Applied and Computational Harmonic Analysis , vol.21 , Issue.1 , pp. 31-52
    • Coifman, R.R.1    Lafon, S.2
  • 7
    • 0000764772 scopus 로고
    • The use of multiple measurements in taxonomic problems
    • Fisher, R. 1936. The use of multiple measurements in taxonomic problems. In Annual Eugenics, volume 7, 179-188.
    • (1936) Annual Eugenics , vol.7 , pp. 179-188
    • Fisher, R.1
  • 8
    • 0001457509 scopus 로고
    • Some methods for classification and analysis of multivariate observations
    • Berkeley, CA: University of California Press
    • Macqueen, J. 1967. Some methods for classification and analysis of multivariate observations. In In Proceedings of the 5th Berkeley symposium on mathematical statistics and probability, volume 1, 281-297. Berkeley, CA: University of California Press.
    • (1967) Proceedings of the 5th Berkeley Symposium on Mathematical Statistics and Probability , vol.1 , pp. 281-297
    • Macqueen, J.1
  • 10
    • 0030157145 scopus 로고    scopus 로고
    • Birch: An efficient data clustering method for very large databases
    • T. Zhang, R. Ramakrishnan, M. L. 1996. Birch: An efficient data clustering method for very large databases. In SIGMOD Record, volume 25, 103-114.
    • (1996) SIGMOD Record , vol.25 , pp. 103-114
    • Zhang, T.1    Ramakrishnan, R.2    L, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.