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Volumn 4701 LNAI, Issue , 2007, Pages 674-682

K-means with large and noisy constraint sets

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLUSTER ANALYSIS; COMPUTATIONAL COMPLEXITY; DATA ACQUISITION; PROBLEM SOLVING;

EID: 38049121185     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74958-5_67     Document Type: Conference Paper
Times cited : (81)

References (13)
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    • Structuring continuous video recordings of everyday life using time-constrained clustering
    • San Jose, CA January
    • Lin, W.-H., Hauptmann, A.: Structuring continuous video recordings of everyday life using time-constrained clustering. In: IS&T/SPIE Symposium on Electronic Imaging, San Jose, CA (January 2006)
    • (2006) IS&T/SPIE Symposium on Electronic Imaging
    • Lin, W.-H.1    Hauptmann, A.2
  • 4
    • 84880095768 scopus 로고    scopus 로고
    • Clustering with constraints: Feasibility issues and the k-means algorithm
    • Davidson, I., Ravi, S.S.: Clustering with constraints: Feasibility issues and the k-means algorithm. In: 5th SIAM Data Mining Conference (2005)
    • (2005) 5th SIAM Data Mining Conference
    • Davidson, I.1    Ravi, S.S.2
  • 5
    • 84958670895 scopus 로고    scopus 로고
    • Grouping with directed relationships
    • Figueiredo, M, Zerubia, J, Jain, A.K, eds, EMMCVPR 2001, Springer, Heidelberg
    • Yu, S.X., Shi, J.: Grouping with directed relationships. In: Figueiredo, M., Zerubia, J., Jain, A.K. (eds.) EMMCVPR 2001. LNCS, vol. 2134, Springer, Heidelberg (2001)
    • (2001) LNCS , vol.2134
    • Yu, S.X.1    Shi, J.2
  • 6
    • 9444230302 scopus 로고    scopus 로고
    • Semi-supervised clustering with user feedback
    • Technical report, Cornell University, TR2003-1892
    • Cohn, D., Caruana, R., McCallum, A.: Semi-supervised clustering with user feedback. Technical report, Cornell University, TR2003-1892 (2003)
    • (2003)
    • Cohn, D.1    Caruana, R.2    McCallum, A.3
  • 8
    • 37149035843 scopus 로고    scopus 로고
    • Clustering with constraints: Theory and practice
    • Basu, S., Davidson, I.: Clustering with constraints: Theory and practice. In: Online Proceedings of a KDD tutorial (2006), http://www.ai.sri.com/~basu/ kdd-tutorial-2006/
    • (2006) Online Proceedings of a KDD tutorial
    • Basu, S.1    Davidson, I.2
  • 10
    • 33750288047 scopus 로고    scopus 로고
    • Davidson, I., Wagstaff, K., Basu, S.: Measuring constraint-set utility for partitional clustering algorithms. In: Fürnkranz, J., Scheffer, T., Spiliopoulou, M. (eds.) PKDD 2006. LNCS (LNAI), 4213, pp. 115-126. Springer, Heidelberg (2006)
    • Davidson, I., Wagstaff, K., Basu, S.: Measuring constraint-set utility for partitional clustering algorithms. In: Fürnkranz, J., Scheffer, T., Spiliopoulou, M. (eds.) PKDD 2006. LNCS (LNAI), vol. 4213, pp. 115-126. Springer, Heidelberg (2006)
  • 11
    • 38049158316 scopus 로고    scopus 로고
    • D.: K-means with large and noisy constraint sets
    • Technical Report H-0253, IBM
    • Pelleg, D., Baras, D.: k-means with large and noisy constraint sets. Technical Report H-0253, IBM (2007)
    • (2007)
    • Pelleg, D.1    Baras2
  • 12
    • 14344264451 scopus 로고    scopus 로고
    • Bilenko, M., Basu, S., Mooney, R. J.: Integrating constraints and metric learning in semi-supervised clustering. In: Brodley, C.E. (ed.) ICML, ACM, New York (2004)
    • Bilenko, M., Basu, S., Mooney, R. J.: Integrating constraints and metric learning in semi-supervised clustering. In: Brodley, C.E. (ed.) ICML, ACM, New York (2004)
  • 13
    • 38049144739 scopus 로고    scopus 로고
    • Davidson, I., Ravi, S.S.: Intractability and clustering with constraints. In: ICML (2007)
    • Davidson, I., Ravi, S.S.: Intractability and clustering with constraints. In: ICML (2007)


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