A Pattern Classification Method using Closest Decision Method in k Nearest Neighbor Prototypes

k 근방 원형상에서 최근접 결정법을 이용한 패턴식별법

In this paper, a pattern classification method using closest decision method based on the mean of norm in the closet prototype from an input pattern and its k nearest neighbor prototypes is presented to do accurate classification in arbitrary distributed patterns when the number of patterns is very low. Also this method can be used to classify input pattern precisely when the number patterns is very low because this method considers the weight by the difference of variance in prototypes around the discrimination boundary.