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Volumn 7665 LNCS, Issue PART 3, 2012, Pages 577-584

A possibilistic density based clustering for discovering clusters of arbitrary shapes and densities in high dimensional data

Author keywords

Arbitrary densities; Arbitrary Shapes; Possibilistic Clustering

Indexed keywords

ARBITRARY SHAPE; DENSITY-BASED CLUSTERING; HIGH DIMENSIONAL DATA; NATURAL CLUSTERS; OVERLAPPING CLUSTERS; POSSIBILISTIC; POSSIBILISTIC CLUSTERING;

EID: 84869023206     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-34487-9_70     Document Type: Conference Paper
Times cited : (2)

References (9)
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    • Kriegel, H.P., Pfeifle, M.: Density Based Clustering of Uncertain Data. In: KDD (2005)
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    • Ester, M., Kriegel, H.P., Sander, J., Xu, X.: A density-based algorithm for discovering clusters in large spatial data sets with noise. In: KDD (1996)
    • (1996) KDD
    • Ester, M.1    Kriegel, H.P.2    Sander, J.3    Xu, X.4
  • 7
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    • Chameleon: A hierarchical clustering algorithm using dynamic modeling
    • Karypis, G., Han, E.H., Kumar, V.: Chameleon: A hierarchical clustering algorithm using dynamic modeling. Computer 32(8), 68-75 (1999)
    • (1999) Computer , vol.32 , Issue.8 , pp. 68-75
    • Karypis, G.1    Han, E.H.2    Kumar, V.3
  • 8
    • 62349090984 scopus 로고    scopus 로고
    • A distance-relatedness dynamic model for clustering high dimensional data of arbitrary shapes and densities
    • Yousri, N.A., Kamel, M.S., Ismail, M.A.: A distance-relatedness dynamic model for clustering high dimensional data of arbitrary shapes and densities. Pattern Recognition (2009)
    • (2009) Pattern Recognition
    • Yousri, N.A.1    Kamel, M.S.2    Ismail, M.A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.