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Volumn 38, Issue 1 SPEC. ISSUE, 2010, Pages 383-384

Distributed user profiling via spectral methods

Author keywords

Clustering; Distributed spectral embedding; Gossip

Indexed keywords

AS CONTENT; DISTRIBUTED ALGORITHM; LOCAL INFORMATION; LOW-DIMENSIONAL SPACES; PERSONALIZED SERVICE; SPECTRAL CLUSTERING; SPECTRAL METHODS; SPECTRAL TRANSFORMATIONS; USER PROFILE; USER PROFILING;

EID: 77954946650     PISSN: 01635999     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1811099.1811098     Document Type: Conference Paper
Times cited : (10)

References (2)
  • 1
    • 84896953642 scopus 로고    scopus 로고
    • Oja's algorithm for graph clustering and Markov spectral decomposition
    • Brussels, ICST
    • V. Borkar and S. P. Meyn. Oja's Algorithm for Graph Clustering and Markov Spectral Decomposition. In ValueTools'08, pages 1-7, Brussels, 2008. ICST.
    • (2008) ValueTools'08 , pp. 1-7
    • Borkar, V.1    Meyn, S.P.2
  • 2
    • 0022013023 scopus 로고
    • On stochastic approximation of the eigenvectors and eigenvalues of the expectation of a random matrix
    • E. Oja and J. Karhunen. On Stochastic Approximation of the Eigenvectors and Eigenvalues of the Expectation of a Random Matrix. Journal of Math. An. and App., 106(1), 1985.
    • (1985) Journal of Math. An. and App. , vol.106 , Issue.1
    • Oja, E.1    Karhunen, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.