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Volumn 46, Issue 4, 2004, Pages 255-271

FINDIT: A fast and intelligent subspace clustering algorithm using dimension voting

Author keywords

Data clustering; Data mining; High dimension; Subspace clustering

Indexed keywords

ALGORITHMS; HEALTH CARE; ITERATIVE METHODS; OBJECT ORIENTED PROGRAMMING; SPURIOUS SIGNAL NOISE;

EID: 0742324835     PISSN: 09505849     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.infsof.2003.07.003     Document Type: Article
Times cited : (92)

References (22)
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    • Two-phase clustering of large datasets
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    • Joze-Khajavi, N.1    Salem, K.2
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    • Karypis, G.1    Han, E.H.2    Kumar, V.3
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    • MAFIA: Efficient and scalable subspace clustering for very large data sets
    • Department of Electrical and Computer Engineering, Northwestern University
    • Goil S., Nagesh H., Choudhary A. MAFIA: efficient and scalable subspace clustering for very large data sets. Technical Report CPDC-TR-9906-010. 1998;Department of Electrical and Computer Engineering, Northwestern University.
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    • Goil, S.1    Nagesh, H.2    Choudhary, A.3
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    • CURE: An efficient clustering algorithm for large databases
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    • Guha, S.1    Rastogi, R.2    Shim, K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.