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Volumn , Issue , 2010, Pages 235-243

Fast hierarchical clustering from the Baire distance

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; PHOTOMETRY; RED SHIFT;

EID: 84879563260     PISSN: 14318814     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-642-10745-0_25     Document Type: Conference Paper
Times cited : (6)

References (11)
  • 2
    • 84901022772 scopus 로고    scopus 로고
    • Chemoinformatics - An introduction for computer scientists
    • Article 8
    • Brown, N. (2009). Chemoinformatics - An introduction for computer scientists. ACM Computing Surveys, 41(2). Article 8.
    • (2009) ACM Computing Surveys , vol.41 , Issue.2
    • Brown, N.1
  • 3
    • 0001138328 scopus 로고
    • A K-means clustering algorithm
    • Hartigan, J. A., & Wong, M. A. (1979). A K-means clustering algorithm. Applied Statistics 28, 100-108.
    • (1979) Applied Statistics , vol.28 , pp. 100-108
    • Hartigan, J.A.1    Wong, M.A.2
  • 4
    • 17544364135 scopus 로고    scopus 로고
    • On ultrametricity, data coding, and computation
    • Murtagh, F. (2004). On ultrametricity, data coding, and computation. Journal of Classification, 21, 167-184.
    • (2004) Journal of Classification , vol.21 , pp. 167-184
    • Murtagh, F.1
  • 5
    • 49349087696 scopus 로고    scopus 로고
    • Thinking ultrametrically
    • D. Banks, L. House, F. R. McMorris, P. Arabie andW. Gaul (Eds.) . Berlin, Heidelberg, New York: Springer
    • Murtagh, F. (2004). Thinking ultrametrically. In D. Banks, L. House, F. R. McMorris, P. Arabie andW. Gaul (Eds.), Classification, clustering, and data mining applications (pp. 3-14). Berlin, Heidelberg, New York: Springer.
    • (2004) Classification, Clustering, and Data Mining Applications , pp. 3-14
    • Murtagh, F.1
  • 6
    • 84862978120 scopus 로고    scopus 로고
    • Quantifying ultrametricity
    • J. Antoch (Ed.) . Berlin, Heidelberg, New York: Springer
    • Murtagh, F. (2004). Quantifying ultrametricity. J. Antoch (Ed.), Proceedings in Computational Statistics, Compstat (pp. 1561-1568). Berlin, Heidelberg, New York: Springer.
    • (2004) Proceedings in Computational Statistics, Compstat , pp. 1561-1568
    • Murtagh, F.1
  • 7
    • 17544369448 scopus 로고    scopus 로고
    • Identifying the ultrametricity of time series
    • Murtagh, F. (2005). Identifying the ultrametricity of time series. European Physical Journal B., 43, 573-579.
    • (2005) European Physical Journal B , vol.43 , pp. 573-579
    • Murtagh, F.1
  • 8
    • 55549116015 scopus 로고    scopus 로고
    • Hierarchical clustering of massive, high dimensional data sets by exploiting ultrametric embedding
    • Society for Industrial and Applied Mathematics
    • Murtagh, F., Downs, G., & Contreras, P. (2008). Hierarchical clustering of massive, high dimensional data sets by exploiting ultrametric embedding. Society for Industrial and Applied Mathematics. SIAM Journal of Scientific Computing, 30(2), 707-730.
    • (2008) SIAM Journal of Scientific Computing , vol.30 , Issue.2 , pp. 707-730
    • Murtagh, F.1    Downs, G.2    Contreras, P.3
  • 11
    • 84879557892 scopus 로고    scopus 로고
    • DIMACS: Series in Discrete Mathematics and Theoretical Computer Science, Rutgers University. American Mathematical Society
    • Vempala, S. (2004). The Random Projection Method (Vol. 65). DIMACS: Series in Discrete Mathematics and Theoretical Computer Science, Rutgers University. American Mathematical Society.
    • (2004) The Random Projection Method , Issue.65
    • Vempala, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.