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Volumn , Issue , 2011, Pages

Noise thresholds for spectral clustering

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLUSTERING ALGORITHMS; INFORMATION THEORY; LEARNING SYSTEMS;

EID: 85162423568     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (91)

References (17)
  • 1
    • 26944433782 scopus 로고    scopus 로고
    • On spectral learning of mixtures of distributions
    • Dimitris Achlioptas and Frank Mcsherry. On spectral learning of mixtures of distributions. In Computational Learning Theory, pages 458-469, 2005.
    • (2005) Computational Learning Theory , pp. 458-469
    • Achlioptas, D.1    McSherry, F.2
  • 2
    • 57949105623 scopus 로고    scopus 로고
    • Isotropic PCA and affine-invariant clustering
    • S. Charles Brubaker and Santosh Vempala. Isotropic pca and affine-invariant clustering. In FOCS, pages 551-560, 2008.
    • (2008) FOCS , pp. 551-560
    • Brubaker, S.C.1    Vempala, S.2
  • 4
    • 0030669030 scopus 로고    scopus 로고
    • Exploring the metabolic and genetic control of gene expression on a genomic scale
    • Joseph L. DeRisi, Vishwanath R. Iyer, and Patrick O. Brown. Exploring the Metabolic and Genetic Control of Gene Expression on a Genomic Scale. Science, 278(5338):680-686, 1997.
    • (1997) Science , vol.278 , Issue.5338 , pp. 680-686
    • Derisi, J.L.1    Iyer, V.R.2    Brown, P.O.3
  • 14
    • 85162512980 scopus 로고    scopus 로고
    • Course notes on random
    • Terence Tao. Course notes on random Matrix Theory, 2010.
    • (2010) Matrix Theory
    • Tao, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.