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Volumn , Issue , 2009, Pages 1479-1482

A hierarchical clustering algorithm based on K-means with constraints

Author keywords

Constraints; Hierarchical clustering; Improved silhouette; K means

Indexed keywords

CLUSTERING QUALITY; CONSTRAINT VIOLATION; HIER-ARCHICAL CLUSTERING; HIERARCHICAL CLUSTERING ALGORITHMS; K-MEANS; MATRIX; OPTIMAL NUMBER; PENALTY FACTOR; SIMILARITY METRICS;

EID: 77951437801     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICIC.2009.18     Document Type: Conference Paper
Times cited : (8)

References (9)
  • 2
    • 14644401723 scopus 로고    scopus 로고
    • Combining Partitional and Hierarchical Algorithms for Robust and Efficient Data Clustering with Cohesion Self-Merging
    • C.R. Lin, M.S. Chen, "Combining Partitional and Hierarchical Algorithms for Robust and Efficient Data Clustering with Cohesion Self-Merging", IEEE Transaction On Knowledge and Data Engineering, 2005, 17(2): 145-159.
    • (2005) IEEE Transaction on Knowledge and Data Engineering , vol.17 , Issue.2 , pp. 145-159
    • Lin, C.R.1    Chen, M.S.2
  • 3
    • 4544367326 scopus 로고    scopus 로고
    • FCM-Based model selection algorithms for determining the number of cluster
    • H. J. Sun, S. R. Wang and Q. S. Jiang, "FCM-Based model selection algorithms for determining the number of cluster", Pattern Recognition, 2004, vol. 37(10), pp. 2027-2037.
    • (2004) Pattern Recognition , vol.37 , Issue.10 , pp. 2027-2037
    • Sun, H.J.1    Wang, S.R.2    Jiang, Q.S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.