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Volumn , Issue , 2010, Pages 379-384

Improved K-medoids clustering based on cluster validity index and object density

Author keywords

Centroid; Compactness; Dataset; Density cluster validity index; Intra cluster variance; Medoid; Partitioning; Separation

Indexed keywords

CLUSTER VALIDITY INDICES; CLUSTERING PROCESS; DATA OBJECTS; DATA SETS; DATASET; INTRA-CLUSTER; K-MEANS; K-MEDOIDS; MEDOIDS; NATURAL CLUSTERS; NUMBER OF CLUSTERS; PRIOR KNOWLEDGE; RANDOM SELECTION; REPRESENTATIVE OBJECT;

EID: 77951172835     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IADCC.2010.5422924     Document Type: Conference Paper
Times cited : (24)

References (10)
  • 10
    • 56149123052 scopus 로고    scopus 로고
    • Version 3.6.0, University of Waikato Hamilton, New Zealand
    • Waikato Environment for Knowledge Analysis, Version 3.6.0, University of Waikato Hamilton, New Zealand, 2008.
    • (2008) Waikato Environment for Knowledge Analysis


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.