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Volumn 17, Issue 1, 2007, Pages 71-80

Clustering via nonparametric density estimation

Author keywords

Cluster analysis; Delaunay triangulation; Kernel method; Nonparametric density estimation; Voronoi tessellation

Indexed keywords


EID: 34247211255     PISSN: 09603174     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11222-006-9010-y     Document Type: Article
Times cited : (102)

References (18)
  • 4
    • 0042507903 scopus 로고
    • Density based exploration of bivariate data
    • Bowman A. and Foster P. 1993. Density based exploration of bivariate data. Statistics and Computing 3: 171-177.
    • (1993) Statistics and Computing , vol.3 , pp. 171-177
    • Bowman, A.1    Foster, P.2
  • 6
  • 8
    • 0242557675 scopus 로고
    • The strong uniform consistency of kernel density estimates
    • North-Holland
    • Devroye L.P. and Wagner T.J. 1980. The strong uniform consistency of kernel density estimates. In: Multivariate Analysis, North-Holland, Vol. 5, pp. 59-77.
    • (1980) Multivariate Analysis , vol.5 , pp. 59-77
    • Devroye, L.P.1    Wagner, T.J.2
  • 13
    • 34247274991 scopus 로고    scopus 로고
    • Nadaraya É.A. 1965. On non-parametric estimates of density functions and regression curves. Theory Probability its Appl. (Transl. Teorija Verojatnostei i ee Primenenija) 10: 186-190.
    • Nadaraya É.A. 1965. On non-parametric estimates of density functions and regression curves. Theory Probability its Appl. (Transl. Teorija Verojatnostei i ee Primenenija) 10: 186-190.
  • 15
    • 1842607847 scopus 로고    scopus 로고
    • R Development Core Team, R Foundation for Statistical Computing, Vienna, Austria
    • R Development Core Team 2004. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria 3-900051-07-0.
    • (2004) R: A language and environment for statistical computing
  • 17
    • 0037560966 scopus 로고    scopus 로고
    • Estimating the cluster tree of a density by analyzing the minimal spanning tree of a sample
    • Stuetzle W. 2003. Estimating the cluster tree of a density by analyzing the minimal spanning tree of a sample. Journal of Classification 20: 25-47.
    • (2003) Journal of Classification , vol.20 , pp. 25-47
    • Stuetzle, W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.