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Volumn , Issue , 2010, Pages 86-91

Class compactness for data clustering

Author keywords

Class compactness; Hierarchical clustering; Icluster; Monotonic sequence

Indexed keywords

SET THEORY; STRUCTURE (COMPOSITION); TREES (MATHEMATICS);

EID: 77958052805     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IRI.2010.5558958     Document Type: Conference Paper
Times cited : (2)

References (11)
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    • A shrinking-based clustering approach for multi-dimensional data
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    • Y. Shi, Y. Song, and A. Zhang, "A Shrinking-Based Clustering Approach for Multi-Dimensional Data." IEEE Transactions on Knowledge and Data Engineering, 17(10):1389-1403, October 2005.
    • (2005) IEEE Transactions on Knowledge and Data Engineering , vol.17 , Issue.10 , pp. 1389-1403
    • Shi, Y.1    Song, Y.2    Zhang, A.3
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    • Univ. of California, Irvine, Dept. of Information and Computer Science
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    • Bay, S.D.1
  • 10
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    • A discrepancy measure for improved clustering
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    • Gupta, L.1    Tammana, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.