메뉴 건너뛰기




Volumn 5476 LNAI, Issue , 2009, Pages 134-146

Approximate spectral clustering

Author keywords

Matrix approximation; Sampling; Scalability; Spectral clustering

Indexed keywords

COMPUTATIONAL CHALLENGES; COMPUTATIONAL COSTS; DATA SETS; EMPIRICAL COMPARISON; LARGE DATASETS; MATRIX APPROXIMATION; REAL WORLD DATA; SAMPLING STRATEGIES; SPECTRAL CLUSTERING;

EID: 67650686504     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-01307-2_15     Document Type: Conference Paper
Times cited : (46)

References (21)
  • 1
    • 16444383160 scopus 로고    scopus 로고
    • Survey of clustering algorithms
    • Xu, R., Wunsch II, D.: Survey of clustering algorithms. IEEE Trans. Neural Networks 16(3), 645-678 (2005)
    • (2005) IEEE Trans. Neural Networks , vol.16 , Issue.3 , pp. 645-678
    • Xu, R.1    Wunsch II, D.2
  • 4
    • 70449129633 scopus 로고    scopus 로고
    • Incremental spectral clustering with application to monitoring of evolving blog communities
    • Ning, H., Xu, W., Chi, Y., Gong, Y., Huang, T.: Incremental spectral clustering with application to monitoring of evolving blog communities. In: SIAM Conference on Data Mining (2007)
    • (2007) SIAM Conference on Data Mining
    • Ning, H.1    Xu, W.2    Chi, Y.3    Gong, Y.4    Huang, T.5
  • 5
    • 67650656292 scopus 로고    scopus 로고
    • Parallel spectral clustering algorithm for large-scale community data mining
    • Miao, G., Song, Y., Zhang, D., Bai, H.: Parallel spectral clustering algorithm for large-scale community data mining. In: International Conference on WWW (2008)
    • (2008) International Conference on WWW
    • Miao, G.1    Song, Y.2    Zhang, D.3    Bai, H.4
  • 13
    • 33751075906 scopus 로고    scopus 로고
    • Fast Monte Carlo algorithms for matrices II: Computing a low-rank approximation to a matrix
    • DOI 10.1137/S0097539704442696
    • Drineas, P., Kannan, R., Mahoney, M.: Fast Monte Carlo algorithms for matrices II: computing a low-rank approximation to a matrix. SIAM Journal on Computing 36(1), 158-183 (2006) (Pubitemid 46374022)
    • (2006) SIAM Journal on Computing , vol.36 , Issue.1 , pp. 158-183
    • Drineas, P.1    Kannan, R.2    Mahoney, M.W.3
  • 18
    • 40049083817 scopus 로고    scopus 로고
    • Selective sampling for approximate clustering of very large data sets
    • DOI 10.1002/int.20268
    • Wang, L., Bezdek, J.C., Leckie, C., Kotagiri, R.: Selective sampling for approximate clustering of very large data sets. International Journal of Intelligence Systems 23(3), 313-331 (2008) (Pubitemid 351322241)
    • (2008) International Journal of Intelligent Systems , vol.23 , Issue.3 , pp. 313-331
    • Wang, L.1    Bezdek, J.C.2    Leckie, C.3    Kotagiri, R.4
  • 19
    • 30344483178 scopus 로고    scopus 로고
    • Document clustering using locality preserving indexing
    • Cai, D., He, X., Han, J.: Document clustering using locality preserving indexing. IEEE Trans. Knowledge and Data Engineering 17(2), 1637-1642 (2005)
    • (2005) IEEE Trans. Knowledge and Data Engineering , vol.17 , Issue.2 , pp. 1637-1642
    • Cai, D.1    He, X.2    Han, J.3
  • 20
    • 0038363049 scopus 로고
    • Akademiai Kiado. North Holland,Budapest
    • Lovasz, L., Plummer, M.: Matching Theory. Akademiai Kiado. North Holland, Budapest (1986)
    • (1986) Matching Theory
    • Lovasz, L.1    Plummer, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.