Prototype Classifier Design with Pruning

Abstract

Algorithms reducing the storage requirement of the nearest neighbor classifier (NNC) can be divided into three main categories: Fast searching algorithms, Instance-based learning algorithms and Prototype based algorithms. In this paper an algorithm, called LVQPRU, is proposed for pruning NNC prototype vectors so that a compact classifier with good… (More)
DOI: 10.1142/S0218213005002090

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