SVM Decision Tree Construction Algorithm Based on Euclidean Distance
Ying Liu · Modern Computer · 2011
SVM decision tree is a quite effective method to solve classification-related problems.Due to different cluster strategies,there will be different tree configurations,and this effects the accuracy of the classification.In order to solve this problem,puts forward an euclidean distance-based support vector machine decision tree construction method.Through adopting two different strategies of Euclidean distance algorithm,we have constructed two different types of SVM decision tree structure.Experimental result shows that it is more accurate to adopt the SVM decision tree based on strategy II configuration algorithm than the one based on strategy I configuration algorithm.