Considering the significance of train sets for the performance of neural networks,the proposed method combined simplicity of nearest neighbor(NN)with high accuracy of neural networks and utilized the modified NN rule to select the most representative samples as a .

Study of segmentation algorithm of brain MRI based on K-nearest neighbour rule with threshold segmentation;

A novel human face recognition method based on local singular value decomposition and nearest neighbor decision rule has been proposed,its essential contents can be listed as follows.

Firstly KPCA is used to extract the features of human face image, and then SVM combined with the nearest distance rule is used for classification, which depends on the kernel principal components .