A weighted minimum distance classifier for pattern recognition
H. Lin, A.N. Venetsanopoulos · 2002
This paper presents a new weighted minimum distance classifier which uses the discriminately power and variance of features. The weights increase the interclass separability while they decrease the intraclass dissimilarity. Two examples are given to show the effectiveness of the method.>