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Volumn , Issue , 2005, Pages 138-149

Clustering with constraints: Feasibility issues and the k-Means algorithm

Author keywords

Constraints; K Means clustering

Indexed keywords

DATA MINING; ITERATIVE METHODS;

EID: 84880095768     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1137/1.9781611972757.13     Document Type: Conference Paper
Times cited : (251)

References (19)
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    • (1987) Proc. Operational Research '87 , pp. 917-932
    • Campers, G.1    Henkes, O.2    Leclerq, J.P.3
  • 9
    • 0001780321 scopus 로고
    • Planar 3DM is NP-complete
    • M. E. Dyer and A. M. Frieze, "Planar 3DM is NP-Complete", J. Algorithms, Vol. 7, 1986, pp. 174-184.
    • (1986) J. Algorithms , vol.7 , pp. 174-184
    • Dyer, M.E.1    Frieze, A.M.2
  • 13
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    • Clustering to minimize the maximum intercluster distance
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    • T. F. Gonzalez, "Clustering to Minimize the Maximum Intercluster Distance", Theoretical Computer Science, Vol. 38, No. 2-3, June 1985, pp. 293-306.
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    • Gonzalez, T.F.1
  • 14
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  • 15
    • 9444294778 scopus 로고    scopus 로고
    • From instance-level constraints to space-level constraints: Making the most of prior knowledge in data clustering
    • Sydney, Australia, July
    • D. Klein, S. D. Kamvar and C. D. Manning, "From Instance-Level Constraints to Space-Level Constraints: Making the Most of Prior Knowledge in Data Clustering", Proc. 19th Intl. Conf. on Machine Learning (ICML 2002), Sydney, Australia, July 2002, pp. 307-314.
    • (2002) Proc. 19th Intl. Conf. on Machine Learning (ICML 2002) , pp. 307-314
    • Klein, D.1    Kamvar, S.D.2    Manning, C.D.3
  • 17
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    • Planar grid embedding in linear time
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.