Erich P. Stuntebeck, John S. Davis II, et al.
HotMobile 2008
We propose a method to improve the probability estimates made by Naive Bayes to avoid the effects of poor class conditional probabilities based on product distributions when each class spreads into multiple regions. Our approach is based on applying a clustering algorithm to each subset of examples that belong to the same class, and to consider each cluster as a class of its own. Experiments on 26 real-world datasets show a significant improvement in performance when the class decomposition process is applied, particularly when the mean number of clusters per class is large.
Erich P. Stuntebeck, John S. Davis II, et al.
HotMobile 2008
Raymond Wu, Jie Lu
ITA Conference 2007
Pradip Bose
VTS 1998
Ehud Altman, Kenneth R. Brown, et al.
PRX Quantum