用于特征筛选的基于目标值的最近邻法

KNN method based on target value applied to feature selection

用传统的最近邻 (KNN)法找出最近邻点后 ,利用曲面平滑化原理 ,按照这些点的目标值分布情况进行模式识别的特征筛选 ,与基于分类的最近邻法相比 ,减少了人为的分类过程。

An improved KNN method is presented in this paper. F eatures are selected by the principle of surface smoothing and according to the target value distribution situation of the points found by traditional KNN metho d. This improved KNN method is based on target value, it can avoid the influence of subjective classification compared to the traditional KNN method based on cl assification.