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Volumn , Issue , 2008, Pages 799-808

Clustering for metric and non-metric distance measures

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; SET THEORY;

EID: 56049103584     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (45)

References (30)
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    • Bajaj, C.L.1
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    • The relaxation method of finding the common points of convex sets and its application to the solution of problems in convex programming
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    • Bregman, L.M.1
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    • Ke Chen. On k-median clustering in high dimensions. In Proceedings of the 17th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA '06), pages 1177-1185, 2006.
  • 9
    • 2942723846 scopus 로고    scopus 로고
    • A divisive information-theoretic feature clustering algorithm for text, classifcation
    • March
    • Inderjit S. Dhillon, Subramanyam Mallela, and Rahul Kumar. A divisive information-theoretic feature clustering algorithm for text, classifcation. Journal of Machine Learning Research (JMLR), 3:1265-1287, March 2003.
    • (2003) Journal of Machine Learning Research (JMLR) , vol.3 , pp. 1265-1287
    • Dhillon, I.S.1    Mallela, S.2    Kumar, R.3
  • 14
    • 0027928863 scopus 로고
    • Applications of weighted voronoi diagrams and randomization to variance-based k-clustering
    • New York, NY, USA, ACM Press
    • Mary Inaba, Naoki Katoh, and Hiroshi Imai. Applications of weighted voronoi diagrams and randomization to variance-based k-clustering. In Proceedings of the 10th annual Symposium on Computational Geometry (SCG '94), pages 332-339, New York, NY, USA, 1994. ACM Press.
    • (1994) Proceedings of the 10th annual Symposium on Computational Geometry (SCG '94) , pp. 332-339
    • Inaba, M.1    Katoh, N.2    Imai, H.3
  • 15
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    • Approximate 1- medians
    • Manuscript
    • Piotr Indyk and Mikkel Thorup. Approximate 1- medians. Manuscript, 2000.
    • (2000)
    • Indyk, P.1    Thorup, M.2
  • 17
    • 3142755912 scopus 로고    scopus 로고
    • Greedy facility location algorithms analyzed using dual fitting with factor-revealing lp
    • Kamal Jain, Mohammad Mahdian, Evangelos Markakis, Amin Saberi, and Vijay V. Vazirani. Greedy facility location algorithms analyzed using dual fitting with factor-revealing lp. Journal of the ACM (JACM), 50(6):795-824, 2003.
    • (2003) Journal of the ACM (JACM) , vol.50 , Issue.6 , pp. 795-824
    • Jain, K.1    Mahdian, M.2    Markakis, E.3    Saberi, A.4    Vazirani, V.V.5
  • 24
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    • On approximate geometric k-clustering
    • Jin Matousek. On approximate geometric k-clustering. Discrete & Computational Geometry, 24(1):61-84, 2000.
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    • Jin, M.1
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    • Clustering large datasets
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    • Vaniel P. Mercer. Clustering large datasets. Technical report, Linacre College, 2003.
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    • Mercer, V.P.1
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    • Optimal time bounds for approximate clustering
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    • Mettu, R.R.1    Greg Plaxton, C.2
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    • k-center, and facility location for sparse graphs
    • Mikkel Thorup. Quick k-median, k-center, and facility location for sparse graphs. SIAM Journal on Computation, pages 405-432, 2004.
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    • Thorup, M.1    k-median, Q.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.