SVMV – A Novel Algorithm for the Visualization of SVM Classification Results
In this paper, a novel algorithm, called support vector machine visualization (SVMV), is proposed. The SVMV algorithm is based on support vector machine (SVM) and self-organizing mapping (SOM). High dimensional data and binary classification results can be visualized in a low dimensional space. Compared with other traditional visualization algorithms like SOM and Sammon’s mapping algorithm, the SVMV algorithm can deliver better visualization on classification results. Experimental results corroborate the effectiveness and usefulness of SVMV.
KeywordsSupport Vector Machine Classification Boundary Support Vector Machine Classification Visualization Algorithm Bias Matrix
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- 10.Wu, S.T., Chow, W.S.: Support Vector Visualization and Clustering Using Self-Organizing Map and Support Vector One-Class Classification. In: Proc. of IEEE Int. Joint Conf. on Neural Networks, Portland, USA, pp. 803–808 (2003)Google Scholar