Modified KNN rule with its application in radar HRRP target recognition
Zheng Bao · Journal of Xidian University · 2007
Due to the target-aspect sensitivity of high resolution rang profiles(HRRPs),we first use a modified k-nearest neighbor(KNN) rule for binary-class classification problem,and then extend it to multi-class classification problems using the one against one(OAO) method.This method adjusts the effective influence size of each training sample in order to make sure the statistical confidence level in a range that can be trusted.Experimental results show our method's good performance for multi-class classification problems and its effectiveness to improve the KNN rule.