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Volumn 227, Issue , 2007, Pages 569-576

Relational clustering by symmetric convex coding

Author keywords

[No Author keywords available]

Indexed keywords

GRAPH THEORY; LEARNING SYSTEMS; OPTIMIZATION; RELATIONAL DATABASE SYSTEMS;

EID: 34547985975     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1273496.1273568     Document Type: Conference Paper
Times cited : (31)

References (28)
  • 1
    • 12244261221 scopus 로고    scopus 로고
    • A generalized maximum entropy approach to bregman co-clustering and matrix approximation
    • Banerjee, A., Dhillon, I. S., Ghosh, J., Merugu, S., & Modha, D. S. (2004). A generalized maximum entropy approach to bregman co-clustering and matrix approximation. KDD (pp. 509-514).
    • (2004) KDD , pp. 509-514
    • Banerjee, A.1    Dhillon, I.S.2    Ghosh, J.3    Merugu, S.4    Modha, D.S.5
  • 2
    • 0001494416 scopus 로고
    • A heuristic for reducing fill-in in sparse matrix factorization
    • Bui, T. N., & Jones, C. (1993). A heuristic for reducing fill-in in sparse matrix factorization. PPSC (pp. 445-452).
    • (1993) PPSC , pp. 445-452
    • Bui, T.N.1    Jones, C.2
  • 4
    • 0027211363 scopus 로고
    • Spectral k-way ratio-cut partitioning and clustering
    • Chan, P. K., Schlag, M. D. F., & Zien, J. Y. (1993). Spectral k-way ratio-cut partitioning and clustering. DAC '93 (pp. 749-754).
    • (1993) DAC '93 , pp. 749-754
    • Chan, P.K.1    Schlag, M.D.F.2    Zien, J.Y.3
  • 5
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by non-negative matrix factorization
    • D.D.Lee, & H.S.Seung (1999). Learning the parts of objects by non-negative matrix factorization. Nature, 401, 788-791.
    • (1999) Nature , vol.401 , pp. 788-791
    • Lee, D.D.1    Seung, H.S.2
  • 6
    • 31844442747 scopus 로고    scopus 로고
    • A unified view of kernel k-means, spectral clustering and graph cuts
    • TR-04-25, University of Texas at Austin
    • Dhillon, I., Guan, Y., & Kulis, B. (2004). A unified view of kernel k-means, spectral clustering and graph cuts (Technical Report TR-04-25). University of Texas at Austin.
    • (2004) Technical Report
    • Dhillon, I.1    Guan, Y.2    Kulis, B.3
  • 7
    • 32344445248 scopus 로고    scopus 로고
    • A fast kernel-based multilevel algorithm for graph clustering
    • Dhillon, I., Guan, Y., & Kulis, B. (2005). A fast kernel-based multilevel algorithm for graph clustering. KDD '05.
    • (2005) KDD '05
    • Dhillon, I.1    Guan, Y.2    Kulis, B.3
  • 8
    • 0035789644 scopus 로고    scopus 로고
    • Co-clustering documents and words using bipartite spectral graph partitioning
    • Dhillon, I. S. (2001). Co-clustering documents and words using bipartite spectral graph partitioning. KDD (pp. 269-274).
    • (2001) KDD , pp. 269-274
    • Dhillon, I.S.1
  • 9
    • 77952375075 scopus 로고    scopus 로고
    • Information-theoretic co-clustering
    • Dhillon, I. S., Mallela, S., & Modha, D. S. (2003). Information-theoretic co-clustering. KDD'03 (pp. 89-98).
    • (2003) KDD'03 , pp. 89-98
    • Dhillon, I.S.1    Mallela, S.2    Modha, D.S.3
  • 10
    • 33749255098 scopus 로고    scopus 로고
    • On the equivalence of nonnegative matrix factorization and spectral clustering
    • Ding, C., He, X., & Simon, H. (2005). On the equivalence of nonnegative matrix factorization and spectral clustering. SDM'05.
    • (2005) SDM'05
    • Ding, C.1    He, X.2    Simon, H.3
  • 11
    • 84870171050 scopus 로고    scopus 로고
    • kdd'06
    • Ding, C., Li, T., Peng, W., & Park, H. (2006). Orthogonal nonnegative matrix tri-factorizations for clustering, kdd'06.
    • (2006)
    • Ding, C.1    Li, T.2    Peng, W.3    Park, H.4
  • 12
    • 78149301227 scopus 로고    scopus 로고
    • A min-max cut algorithm for graph partitioning and data clustering
    • Ding, C. H. Q., He, X., Zha, H., Gu, M., & Simon, H. D. (2001). A min-max cut algorithm for graph partitioning and data clustering. Proceedings of ICDM 2001 (pp. 107-114).
    • (2001) Proceedings of ICDM 2001 , pp. 107-114
    • Ding, C.H.Q.1    He, X.2    Zha, H.3    Gu, M.4    Simon, H.D.5
  • 13
    • 0003223128 scopus 로고
    • A multilevel algorithm for partitioning graphs
    • Hendrickson, B., & Leland, R. (1995). A multilevel algorithm for partitioning graphs. Supercomputing '95 (p. 28).
    • (1995) Supercomputing '95 , pp. 28
    • Hendrickson, B.1    Leland, R.2
  • 16
    • 0032131147 scopus 로고    scopus 로고
    • A fast and high quality multilevel scheme for partitioning irregular graphs
    • Karypis, G., & Kumar, V. (1998). A fast and high quality multilevel scheme for partitioning irregular graphs. SIAM J. Sci. Comput., 20, 359-392.
    • (1998) SIAM J. Sci. Comput , vol.20 , pp. 359-392
    • Karypis, G.1    Kumar, V.2
  • 17
    • 84990479742 scopus 로고
    • An efficient heuristic procedure for partitioning graphs
    • Kernighan, B., & Lin, S. (1970). An efficient heuristic procedure for partitioning graphs. The Bell System Technical Journal, 49, 291-307.
    • (1970) The Bell System Technical Journal , vol.49 , pp. 291-307
    • Kernighan, B.1    Lin, S.2
  • 19
    • 85142688646 scopus 로고
    • News weeder: Learning to filter netnews
    • Lang, K. (1995). News weeder: Learning to filter netnews. ICML.
    • (1995) ICML
    • Lang, K.1
  • 20
    • 32344435747 scopus 로고    scopus 로고
    • A general model for clustering binary data
    • Li, T. (2005). A general model for clustering binary data. KDD'05.
    • (2005) KDD'05
    • Li, T.1
  • 21
    • 32344445368 scopus 로고    scopus 로고
    • Co-clustering by block value decomposition
    • Long, B., Zhang, Z. M., & Yu, P. S. (2005). Co-clustering by block value decomposition. KDD '05.
    • (2005) KDD '05
    • Long, B.1    Zhang, Z.M.2    Yu, P.S.3
  • 22
    • 0032591662 scopus 로고    scopus 로고
    • Relational clustering based on a new robust estimator with application to web mining
    • Nasraoui, O., Krishnapuram, R., & Joshi, A. (1999). Relational clustering based on a new robust estimator with application to web mining. NAFIPS 99.
    • (1999) NAFIPS 99
    • Nasraoui, O.1    Krishnapuram, R.2    Joshi, A.3
  • 23
    • 1942452250 scopus 로고    scopus 로고
    • Adaptive overrelaxed bound optimization methods
    • Salakhutdinov, R., & Roweis, S. (2003). Adaptive overrelaxed bound optimization methods. ICML'03.
    • (2003) ICML , vol.3
    • Salakhutdinov, R.1    Roweis, S.2
  • 25
    • 0036931833 scopus 로고    scopus 로고
    • Cluster ensembles - a knowledge reuse framework for combining partitionings
    • Strehl, A., & Ghosh, J. (2002). Cluster ensembles - a knowledge reuse framework for combining partitionings. AAAI 2002 (pp. 93-98).
    • (2002) AAAI 2002 , pp. 93-98
    • Strehl, A.1    Ghosh, J.2
  • 26
    • 84864052219 scopus 로고    scopus 로고
    • Soft clustering on graphs
    • Yu, K., Yu, S., & Tresp, V. (2005). Soft clustering on graphs. NIPS'05.
    • (2005) NIPS , vol.5
    • Yu, K.1    Yu, S.2    Tresp, V.3
  • 27
    • 0344551898 scopus 로고    scopus 로고
    • Multiclass spectral clustering
    • Yu, S., & Shi, J. (2003). Multiclass spectral clustering. ICCV'03..
    • (2003) ICCV , vol.3
    • Yu, S.1    Shi, J.2
  • 28
    • 34547982414 scopus 로고    scopus 로고
    • Bi-partite graph partitioning and data clustering. ACM
    • Zha, H., Ding, C., Gu, M., He, X., & Simon, H. (2001). Bi-partite graph partitioning and data clustering. ACM CIKM'01.
    • (2001) CIKM , vol.1
    • Zha, H.1    Ding, C.2    Gu, M.3    He, X.4    Simon, H.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.