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Volumn , Issue , 2010, Pages 394-400

Assisting Users with Clustering Tasks by Combining Metric Learning and Classification

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLUSTERING ALGORITHMS;

EID: 80052814816     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (12)
  • 2
    • 0032645080 scopus 로고    scopus 로고
    • An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants
    • Bauer, E. and Kohavi, R. 1999. An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants. Machine Learning 36(1-2): 106-139.
    • (1999) Machine Learning , vol.36 , Issue.1-2 , pp. 106-139
    • Bauer, E.1    Kohavi, R.2
  • 3
    • 0029546874 scopus 로고
    • Using Linear Algebra for Intelligent Information Retrieval
    • Berry, M. W., Dumais, S.T., and O'Brien, G.W. 1995. Using Linear Algebra for Intelligent Information Retrieval. SIAM Review 37(4): 573-595.
    • (1995) SIAM Review , vol.37 , Issue.4 , pp. 573-595
    • Berry, M. W.1    Dumais, S.T.2    O'Brien, G.W.3
  • 6
    • 77958575499 scopus 로고    scopus 로고
    • Semi-Supervised Clustering: Incorporating User Feedback to Improve Cluster Utility
    • AAAI Press
    • Cohn, D., and Caruana, R. 2000. Semi-Supervised Clustering: Incorporating User Feedback to Improve Cluster Utility. In Proceedings of the Conf. on Artificial Intelligence. AAAI Press.
    • (2000) Proceedings of the Conf. on Artificial Intelligence
    • Cohn, D.1    Caruana, R.2
  • 7
  • 10
    • 0000435162 scopus 로고    scopus 로고
    • Updating Quasi-Newton Matrices with Limited Storage
    • Nocedal, J. “Updating Quasi-Newton Matrices with Limited Storage.” Mathematics of Computation 35: 773-782.
    • Mathematics of Computation , vol.35 , pp. 773-782
    • Nocedal, J.1
  • 12
    • 70449553891 scopus 로고    scopus 로고
    • A Novel Visualization Approach for Data-Mining-Related Classification
    • Seifert, C. and Lex, E. 2009. A Novel Visualization Approach for Data-Mining-Related Classification. In Proceedings of Information Visualization.
    • (2009) Proceedings of Information Visualization
    • Seifert, C.1    Lex, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.