메뉴 건너뛰기




Volumn , Issue , 2002, Pages 582-587

A robust and efficient clustering algorithm based on cohesion self-merging

Author keywords

Data clustering; Data mining; Hierarchical clustering; Partitional clustering

Indexed keywords

ALGORITHMS; DECISION SUPPORT SYSTEMS; FUZZY SETS; MERGING; NEURAL NETWORKS; PATTERN RECOGNITION;

EID: 0242540424     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/775107.775133     Document Type: Conference Paper
Times cited : (23)

References (16)
  • 2
    • 0005943240 scopus 로고    scopus 로고
    • Constrained k-means clustering
    • MSR-TR-2000-65, Microsoft Research, May
    • P. S. Bradley, K. P. Bennett, and A. Demiriz Constrained k-means clustering. MSR-TR-2000-65, Microsoft Research, May 2000.
    • (2000)
    • Bradley, P.S.1    Bennett, K.P.2    Demiriz, A.3
  • 4
    • 0023523514 scopus 로고
    • How many clusters are best? - An experiment
    • R. C. Dubes How many clusters are best? - an experiment. Pattern Recognition 20, 6:645-663, 1987.
    • (1987) Pattern Recognition , vol.20 , Issue.6 , pp. 645-663
    • Dubes, R.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.