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Volumn 56, Issue 1-3, 2004, Pages 89-113

Correlation Clustering

Author keywords

Approximation algorithm; Clustering; Document classification

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; COMPUTATIONAL COMPLEXITY; CORRELATION METHODS; DATABASE SYSTEMS; GRAPH THEORY; MATHEMATICAL MODELS; METRIC SYSTEM; PARAMETER ESTIMATION; RESEARCH; THEOREM PROVING;

EID: 3142665421     PISSN: 08856125     EISSN: None     Source Type: Journal    
DOI: 10.1023/B:MACH.0000033116.57574.95     Document Type: Article
Times cited : (1076)

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    • Arora, S.1    Frieze, A.2    Kaplan, H.3
  • 4
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    • Polynomial time approximation schemes for dense instances of NP-Hard problems
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    • Arora, S.1    Karger, D.2    Karpinski, M.3
  • 9
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    • Personal communication
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    • (2001)
    • Cohen, W.1    McCallum, A.2
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    • Algorithms for graph partitioning on the planted partition model
    • Condon, A., & Karp, R. (1999). Algorithms for graph partitioning on the planted partition model. Random Structures and Algorithms, 18:2, 116-140.
    • (1999) Random Structures and Algorithms , vol.18 , Issue.2 , pp. 116-140
    • Condon, A.1    Karp, R.2
  • 13
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    • De La Vega, F.1
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    • Correlation clustering - Minimizing disagreements on arbitrary weighted graphs
    • Emanuel, D., & Fiat, A. (2003). Correlation clustering - Minimizing disagreements on arbitrary weighted graphs. In Proceedings of ESA.
    • (2003) Proceedings of ESA
    • Emanuel, D.1    Fiat, A.2
  • 17
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    • Property testing and its connection to learning and approximation
    • Goldreich, O., Goldwasser, S., & Ron, D. (1998). Property testing and its connection to learning and approximation. JACM, 45:4, 653-750.
    • (1998) JACM , vol.45 , Issue.4 , pp. 653-750
    • Goldreich, O.1    Goldwasser, S.2    Ron, D.3
  • 18
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    • A unified approach to approximation algorithms for bottleneck problems
    • Hochbaum, D., & Shmoys, D. (1986). A unified approach to approximation algorithms for bottleneck problems. JACM, 33, 533-550.
    • (1986) JACM , vol.33 , pp. 533-550
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  • 19
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    • Approximation algorithms for metric facility location and k-Median problems using the primal-dual schema and Lagrangian relaxation
    • Jain, K., & Vazirani, V. (2001). Approximation algorithms for metric facility location and k-Median problems using the primal-dual schema and Lagrangian relaxation. JACM, 48:2, 274-296.
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    • Jain, K.1    Vazirani, V.2
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.