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Volumn 18, Issue , 2012, Pages 486-497

On the sensitivity of shape fitting problems

Author keywords

Coresets; K means; Shape fitting; Subspace approximation

Indexed keywords

CLUSTERING PROBLEMS; CORE SET; DIMENSION-REDUCTION; HIGH DIMENSIONS; K-MEANS; PROJECTIVE CLUSTERING; SHAPE FITTING; SUBSPACE APPROXIMATION;

EID: 84880213088     PISSN: 18688969     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.4230/LIPIcs.FSTTCS.2012.486     Document Type: Conference Paper
Times cited : (42)

References (12)
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  • 3
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    • On coresets for k-median and k-means clustering in metric and euclidean spaces and their applications
    • Ke Chen. On coresets for k-median and k-means clustering in metric and euclidean spaces and their applications. SIAM J. Comput., 39(3):923-947, 2009.
    • (2009) SIAM J. Comput. , vol.39 , Issue.3 , pp. 923-947
    • Chen, K.1
  • 6
    • 79959744443 scopus 로고    scopus 로고
    • A unified framework for approximating and clustering data
    • For an updated version
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    • (2011) STOC , pp. 569-578
    • Feldman, D.1    Langberg, M.2
  • 8
    • 84860167138 scopus 로고    scopus 로고
    • Data reduction for weighted and outlier-resistant clustering
    • Dan Feldman and Leonard J. Schulman. Data reduction for weighted and outlier-resistant clustering. In SODA, pages 1343-1354, 2012.
    • (2012) SODA , pp. 1343-1354
    • Feldman, D.1    Schulman, L.J.2
  • 10
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    • Universal e-approximators for integrals
    • Michael Langberg and Leonard J. Schulman. Universal e-approximators for integrals. In SODA, pages 598-607, 2010.
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    • Langberg, M.1    Schulman, L.J.2
  • 12
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    • A near-linear algorithm for projective clustering integer points
    • Kasturi Varadarajan and Xin Xiao. A near-linear algorithm for projective clustering integer points. In SODA, pages 1329-1342, 2012.
    • (2012) SODA , pp. 1329-1342
    • Varadarajan, K.1    Xiao, X.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.