Class decomposition via clustering: A new framework for low-variance classifiers

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2003, Pages 673-676

  Vilalta, Ricardo ^a   Achari, Murali Krishna ^a   Eick, Christoph F ^a  

^a University of Houston   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 33751037160     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

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5. T. Hastie, R. Tibshirani, and J. Friedman. The elements of statistical learning; data mining, inference, and prediction. Springer-Verlag, 2001.
6. R. Vilalta and I. Rish. A decomposition of classes via clustering to explain and improve naive bayes. 14th European Conference on Machine Learning, 2003.