Random Subspace Method with Feature Subsets Selected by a Fuzzy Class Separability Index

Abstract

Classifier combining techniques have become popular for improving weak classifiers in recent years. The random subspace method (RSM) is an efficient classifier combining technique that can improve classification performance of weak classifiers for the small sample size (SSS) problems. In RSM, the feature subsets are randomly selected and the resulting… (More)

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