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Volumn 2, Issue , 2005, Pages 1016-1021

A new clustering algorithm based on distance and density

Author keywords

Clustering; DBSCAN; Entropy theory; k nearest neighbors

Indexed keywords

ALGORITHMS; CONFORMAL MAPPING; DATA REDUCTION; DATA STORAGE EQUIPMENT; ENTROPY; FUZZY SETS; SET THEORY;

EID: 33745280072     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (19)

References (20)
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  • 9
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    • An efficient density based clustering algorithm for large databases
    • ICTAI 2004
    • Yasser El-Sonbaty, M. A. Ismail, and Mohamed Farouk,"An Efficient Density Based Clustering Algorithm for Large Databases," ICTAI 2004. 16th IEEE International Conference, pp673-677
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    • Ching J.Y., Wong A.K.C.,and Chan K.C.C.,"Class-dependent discretization for inductive learning from continuous and mexed-mode data," IEEE Trans. Pattern Anal.Maching Intell., 1995,pp641-651
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.