Title :
Decision tree SVM basing on kernel clustering
Author_Institution :
Coll. of Inf. Sci. & Eng., Henan Univ. of Technol., Zhengzhou, China
Abstract :
Basing on the SVM that is used to solve pattern recognition problems, this paper brings up a new pattern recognition method that combines the kernel K-means Clustering with decision tree SVM. And this method is simpler structure and higher computational efficiency than old one. Meanwhile, this method achieves a good result in the experiment.
Keywords :
decision trees; pattern clustering; support vector machines; computational efficiency; decision tree SVM; kernel k-means clustering; pattern recognition; Algorithm design and analysis; Classification algorithms; Clustering algorithms; Decision trees; Kernel; Pattern recognition; Support vector machines; Decision tree; Kernel K-means Clustering; Multi-class pattern recognition; SVM;
Conference_Titel :
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8036-4
DOI :
10.1109/ICEICE.2011.5778022
