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Volumn 51, Issue 3, 2004, Pages 497-515

On clusterings: Good, bad and spectral

Author keywords

Clustering; Graph algorithms; Spectral methods

Indexed keywords

CLUSTERING; GRAPH ALGORITHMS; SPECTRAL METHODS;

EID: 4243128193     PISSN: 00045411     EISSN: None     Source Type: Journal    
DOI: 10.1145/990308.990313     Document Type: Article
Times cited : (687)

References (20)
  • 1
    • 0002334967 scopus 로고    scopus 로고
    • Spectral partitioning: The more eigenvectors the better
    • ALPERT, C., KAHNG, A., AND YAO, Z. 1999. Spectral partitioning: The more eigenvectors the better. Discr. Appl. Math. 90, 3-26.
    • (1999) Discr. Appl. Math. , vol.90 , pp. 3-26
    • Alpert, C.1    Kahng, A.2    Yao, Z.3
  • 6
    • 4243136572 scopus 로고    scopus 로고
    • On a recursive spectral algorithm for clustering from pairwise similarities
    • CHENG, D., KANNAN, R., VEMPALA, S., AND WANG, G. 2003. On a recursive spectral algorithm for clustering from pairwise similarities. MIT LCS Technical Report MIT-LCS-TR-906.
    • (2003) MIT LCS Technical Report , vol.MIT-LCS-TR-906
    • Cheng, D.1    Kannan, R.2    Vempala, S.3    Wang, G.4
  • 9
    • 0022012617 scopus 로고
    • A simple heuristic for the p-center problem
    • DYER, M., AND FRIEZE, A. 1985. A simple heuristic for the p-center problem. Oper. Res. Lett. 3(6), 285-288.
    • (1985) Oper. Res. Lett. , vol.3 , Issue.6 , pp. 285-288
    • Dyer, M.1    Frieze, A.2
  • 10
    • 84862402964 scopus 로고    scopus 로고
    • EIGENCLUSTER See http://www-math.mit.edu/cluster/.
    • Eigencluster1
  • 11
    • 0032308232 scopus 로고    scopus 로고
    • Fast Monte-Carlo algorithms for finding low-rank approximations
    • IEEE Computer Society Press, Los Alamitos, Calif.
    • FRIEZE, A., KANNAN, R., AND VEMPALA, S. 1998. Fast Monte-Carlo algorithms for finding low-rank approximations, In Proceedings of 39th Symposium on Foundations of Computer Science. IEEE Computer Society Press, Los Alamitos, Calif, 370-378.
    • (1998) Proceedings of 39th Symposium on Foundations of Computer Science , pp. 370-378
    • Frieze, A.1    Kannan, R.2    Vempala, S.3
  • 13
    • 0033317227 scopus 로고    scopus 로고
    • A sublinear time approximation scheme for clustering in metric spaces
    • IEEE Computer Society Press, Los Alamitos, Calif.
    • INDYK, P., 1999. A sublinear time approximation scheme for clustering in metric spaces, In Proceedings of 40th Symposium on Foundations of Computer Science. IEEE Computer Society Press, Los Alamitos, Calif., 154-159.
    • (1999) Proceedings of 40th Symposium on Foundations of Computer Science , pp. 154-159
    • Indyk, P.1
  • 14
    • 0000682161 scopus 로고    scopus 로고
    • Approximation algorithms for metric facility location and k-median problems using the primal-dual schema and Lagrangian relaxation
    • JAIN, K., AND VAZIRANI, V. 2001. Approximation algorithms for metric facility location and k-median problems using the primal-dual schema and Lagrangian relaxation. ACM 48, 2, 274-296.
    • (2001) ACM , vol.48 , Issue.2 , pp. 274-296
    • Jain, K.1    Vazirani, V.2
  • 15
    • 0000651166 scopus 로고    scopus 로고
    • Multicommodity max-flow min-cut theorems and their use in designing approximation algorithms
    • LEIGHTON, T., AND RAO, S. 1999. Multicommodity max-flow min-cut theorems and their use in designing approximation algorithms. J. ACM 46, 6, 787-832.
    • (1999) J. ACM , vol.46 , Issue.6 , pp. 787-832
    • Leighton, T.1    Rao, S.2
  • 17
    • 0034244751 scopus 로고    scopus 로고
    • Normalized cuts and image segmentation
    • SHI, J., AND MALIK, J. 2000. Normalized cuts and image segmentation. IEEE Trans. Patt. Anal. Mach. Intell., 22, 8, 888-905, (See http://www-2.cs.cmu.edu/ ~jshi/Grouping/.)
    • (2000) IEEE Trans. Patt. Anal. Mach. Intell. , vol.22 , Issue.8 , pp. 888-905
    • Shi, J.1    Malik, J.2
  • 18
    • 0024699930 scopus 로고
    • Approximate counting, uniform generation and rapidly mixing Markov chains
    • SINCLAIR, A., AND JERRUM, M. 1989. Approximate counting, uniform generation and rapidly mixing Markov chains. Inf. Comput. 82, 93-133.
    • (1989) Inf. Comput. , vol.82 , pp. 93-133
    • Sinclair, A.1    Jerrum, M.2
  • 19
    • 0001162599 scopus 로고
    • Error and perturbation bounds for subspaces associated with certain eigenvalue problems
    • STEWART, G. 1973. Error and perturbation bounds for subspaces associated with certain eigenvalue problems. SIAM Rev. 154, 727-764.
    • (1973) SIAM Rev. , vol.154 , pp. 727-764
    • Stewart, G.1
  • 20
    • 0033285447 scopus 로고    scopus 로고
    • Segmentation using eigenvectors: A unifying view
    • IEEE Computer Society Press, Los Alamitos, Calif.
    • WEISS, Y. 1999. Segmentation using eigenvectors: A unifying view. In Proceedings of IEEE International Conference on Computer Vision. IEEE Computer Society Press, Los Alamitos, Calif., 975-982.
    • (1999) Proceedings of IEEE International Conference on Computer Vision , pp. 975-982
    • Weiss, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.