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Volumn 1, Issue , 2004, Pages 143-148

Scalable clustering: A distributed approach

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; DATA CLUSTERING; DATA SETS; HEURISTIC ALGORITHM;

EID: 11144277437     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZY.2004.1375705     Document Type: Conference Paper
Times cited : (25)

References (9)
  • 1
    • 0041965980 scopus 로고    scopus 로고
    • Clusters ensembles- A knowledge reuse framework for combining multiple partitions
    • A. Strehl and J. Ghosh, "Clusters ensembles- a knowledge reuse framework for combining multiple partitions". Journal of Machine learning Research, 3, 2002, pp. 583-617
    • (2002) Journal of Machine Learning Research , vol.3 , pp. 583-617
    • Strehl, A.1    Ghosh, J.2
  • 5
    • 1842705656 scopus 로고    scopus 로고
    • Finding consistent clusters in data partitions
    • Eds. F. Roli, J. Kittler, LNCS 2364
    • A.L.N Fred, "Finding Consistent Clusters in Data Partitions". In Proc. 3d Int. Workshop on multiple Classifier Systems. Eds. F. Roli, J. Kittler, LNCS 2364, 2002, pp. 309-318.
    • (2002) Proc. 3d Int. Workshop on Multiple Classifier Systems , pp. 309-318
    • Fred, A.L.N.1
  • 6
    • 0002679222 scopus 로고    scopus 로고
    • Scalability for clustering algorithms revisited
    • F. Farnstrom, J. Lewis, and Charles Elkan, Scalability for Clustering Algorithms Revisited, SIGKDD Explorations, 2, 1, 2000. pp. 51-57.
    • (2000) SIGKDD Explorations , vol.2 , Issue.1 , pp. 51-57
    • Farnstrom, F.1    Lewis, J.2    Elkan, C.3
  • 7
    • 0037118557 scopus 로고    scopus 로고
    • Speeding up fuzzy c-means: Using a hierarchical data organization to control the precision of membership calculation
    • F. Hoppner, Speeding up fuzzy c-means: using a hierarchical data organization to control the precision of membership calculation. Fuzzy Sets and Systems. 128, 2002. pp. 365-376.
    • (2002) Fuzzy Sets and Systems , vol.128 , pp. 365-376
    • Hoppner, F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.