FuzzyBagging: A novel ensemble of classifiers |
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Authors: | Loris Nanni Alessandra Lumini |
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Affiliation: | DEIS, IEIIT—CNR, Università di Bologna Viale Risorgimento 2, 40136 Bologna, Italy |
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Abstract: | 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. |
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Keywords: | Classifier design and evaluation Machine learning |
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