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Volumn 3721 LNAI, Issue , 2005, Pages 71-83

Cluster aggregate inequality and multi-level hierarchical clustering

Author keywords

[No Author keywords available]

Indexed keywords

AGGLOMERATION; AGGREGATES; ALGORITHMS; ARTIFICIAL INTELLIGENCE; STATISTICAL METHODS;

EID: 33646420332     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11564126_12     Document Type: Conference Paper
Times cited : (16)

References (13)
  • 2
    • 33646398533 scopus 로고    scopus 로고
    • Large hierarchical document clustering using frequent itemsets
    • B. Fung, K. Wang, and M. Ester. Large hierarchical document clustering using frequent itemsets. Proc. SIAM Data Mining Conf., 2003.
    • (2003) Proc. SIAM Data Mining Conf.
    • Fung, B.1    Wang, K.2    Ester, M.3
  • 6
    • 78149309053 scopus 로고    scopus 로고
    • An agglomerative hierarchical clustering using partial maximum array and incremental similarity computation method
    • S.Y. Jung and T.-S. Kim. An agglomerative hierarchical clustering using partial maximum array and incremental similarity computation method. Proc. SIAM Conf. on Data Mining, pages 265-272, 2001.
    • (2001) Proc. SIAM Conf. on Data Mining , pp. 265-272
    • Jung, S.Y.1    Kim, T.-S.2
  • 7
    • 0032686723 scopus 로고    scopus 로고
    • Chameleon: Hierarchical clustering using dynamic modeling
    • G. Karypis, E.-H. Han, and V. Kumar. Chameleon: Hierarchical clustering using dynamic modeling. IEEE Computer, 32:68-75, 1999.
    • (1999) IEEE Computer , vol.32 , pp. 68-75
    • Karypis, G.1    Han, E.-H.2    Kumar, V.3
  • 10
    • 0022906994 scopus 로고
    • Implementing agglomerative hierarchic clustering algorithms for use in document retrieval
    • E.M. Voorhees. Implementing agglomerative hierarchic clustering algorithms for use in document retrieval. Information Processing and Management, 22:465-476, 1986.
    • (1986) Information Processing and Management , vol.22 , pp. 465-476
    • Voorhees, E.M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.