A Multi-Classification SVM Based on Clustering Idea
Zhao Zhi-gang · Journal of Qingdao Technological University · 2011
Now that the original multi-classification SVM based on SVM-decision binary tree has low classification efficiency and its complicated operation,a multi-classification SVM based on clustering idea is presented in the paper.It improves the operation speed by employing the spatial distance and the clustering idea.The experimental results indicate that the new algorithm can not only keep the generalization capability but also improve the operation speed and classification efficiency.