FuzzyBagging: A novel ensemble of classifiers
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摘要
In this work, a new method for the creation of classifier ensembles is introduced. The patterns are partitioned into clusters to group together similar patterns, a training set is built using the patterns that belong to a cluster. Each of the new sets is used to train a classifier. We show that the approach here presented, called FuzzyBagging, obtains performance better than Bagging.
论文关键词：Classifier design and evaluation,Machine learning
论文评审过程：Received 25 July 2005, Revised 26 September 2005, Available online 5 December 2005.
论文官网地址：https://doi.org/10.1016/j.patcog.2005.10.002
