关键词: 欧氏距离, 拒识区域, 多分类, 支持向量机

Abstract: To overcome the disadvantages of Unclassifiable Region (UR) in conventional Multi-classification Support Vector Machine (MSVM), and increase the classification capacity and generalization ability of MSVM, Euclidean Distance Method (EDM) was presented. EDM computed the distances between the sample in UR and every class center directly, and then selected the class with the least Euclidean distance for the sample. The experimental results on benchmark datasets show that EDM eliminates the UR in conventional MSVM and improves the classification capacity and generalization ability of MSVM effectively.

Key words: Euclidean distance, Unclassifiable Region (UR), multi-classification, Support Vector Machine (SVM)