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Volumn , Issue , 2005, Pages 4-7

Semi-supervised clustering with metric learning using relative comparisons

Author keywords

[No Author keywords available]

Indexed keywords

CONSTRAINT THEORY; DATABASE SYSTEMS; SUPERVISED LEARNING;

EID: 34548562145     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2005.128     Document Type: Conference Paper
Times cited : (19)

References (7)
  • 1
    • 34548586491 scopus 로고    scopus 로고
    • http://www-2.cs.cmu.edu/afs/cs.cmu.edu/project/theo20/www/data/news20. tar.gz.
  • 2
    • 34548596179 scopus 로고    scopus 로고
    • http://www.cs.utexas.edu/users/ml/risc/code/.
  • 3
    • 14344264451 scopus 로고    scopus 로고
    • Integrating constraints and metric learning in semi-supervised clustering
    • M. Bilenko, S. Basu, and R. Mooney. Integrating constraints and metric learning in semi-supervised clustering. In Proceedings of ICML pages 81-88, 2004.
    • (2004) Proceedings of ICML , pp. 81-88
    • Bilenko, M.1    Basu, S.2    Mooney, R.3
  • 6
    • 0002096830 scopus 로고    scopus 로고
    • Document clustering using word clusters via the information bottleneck method
    • N. Slonim and N. Tishby. Document clustering using word clusters via the information bottleneck method. In Proceedings of SIGIR, page 208215, 2000.
    • (2000) Proceedings of SIGIR , pp. 208215
    • Slonim, N.1    Tishby, N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.