Feature and instance reduction for PNN classifiers based on fuzzy rough sets

Abstract

Instance reduction for K-nearest-neighbor classification rules (KNN) has attracted much attention these years, and most of the existing approaches lose the semantics of probability of original data. In this work, we propose a new reduced KNN rule, called FAIR-KNN, to perform feature and instance reduction based on fuzzy rough set theory. First, we use fuzzy… (More)
DOI: 10.1007/s13042-014-0232-6

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