The Design of a Classifier Combining GA-based Feature Weighting Algorithm and Modified KNN Rule

GA를 이용한 특징 가중치 알고리즘과 Modified KNN규칙을 결합한 Classifier 설계

This paper proposes a new classification system combining the adaptive feature weighting algorithm using the genetic algorithm and the modified KNN rule. GA is employed to choose the middle value of weights and weights of features for high performance of the system. The modified KNN rule is proposed to estimate the class of test pattern using adaptive feature space. Experiments with the unconstrained handwritten digit database of Concordia University in Canada are conducted to show the performance of the proposed method.