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Volumn 2, Issue , 2006, Pages 1465-1472

On semi-supervised clustering via multiobjective optimization

Author keywords

Multiobjective clustering; Multiobjective machine learning; Semi supervised clustering; Semi supervised learning

Indexed keywords

CLASSIFICATION (OF INFORMATION); INFORMATION ANALYSIS; INFORMATION RETRIEVAL; LEARNING SYSTEMS; OPTIMIZATION; PROBLEM SOLVING;

EID: 33750261768     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1143997.1144238     Document Type: Conference Paper
Times cited : (39)

References (21)
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  • 13
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    • Transductive inference for text classification using support vector machines
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    • (1999) Proceedings of ICML-99, 16th International Conference on Machine Learning , pp. 200-209
    • Joachims, T.1
  • 14
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    • Effectiveness of information extraction, multi-relational, and semi-supervised learning for predicting functional properties of genes
    • IEEE Press, New York, NY
    • M.-A. Krogel and T. Scheffer. Effectiveness of information extraction, multi-relational, and semi-supervised learning for predicting functional properties of genes. In Proceedings of the Third IEEE International Conference on Data Mining, pages 569-573. IEEE Press, New York, NY, 2003.
    • (2003) Proceedings of the Third IEEE International Conference on Data Mining , pp. 569-573
    • Krogel, M.-A.1    Scheffer, T.2
  • 15
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    • Gene functional classification by semi-supervised learning from heterogeneous data
    • ACM Press, New York, NY
    • T. Li, S. Zhu, Q. Li, and M. Ogihara. Gene functional classification by semi-supervised learning from heterogeneous data. In Proceedings of the Symposium on Applied Computing, pages 78-82. ACM Press, New York, NY, 2003.
    • (2003) Proceedings of the Symposium on Applied Computing , pp. 78-82
    • Li, T.1    Zhu, S.2    Li, Q.3    Ogihara, M.4
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    • Silhouettes: A graphical aid to the interpretation and validation of cluster analysis
    • P. J. Rousseeuw. Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. Journal of Computational and Applied Mathematics, 20:53-65, 1987.
    • (1987) Journal of Computational and Applied Mathematics , vol.20 , pp. 53-65
    • Rousseeuw, P.J.1
  • 19
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    • A memetic co-clustering algorithm for gene expression profiles and biological annotation
    • IEEE Press, Anaheim, CA
    • N. Speer, C. Spieth, and A. Zell. A memetic co-clustering algorithm for gene expression profiles and biological annotation. In Proceedings of the Congress on Evolutionary Computation, pages 1631-1638. IEEE Press, Anaheim, CA, 2004.
    • (2004) Proceedings of the Congress on Evolutionary Computation , pp. 1631-1638
    • Speer, N.1    Spieth, C.2    Zell, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.