Piecewise Support Vector Machines

A novel piecewise support vector machines(PSVM) model is provided in this paper,which used the traditional piecewise linear recognition method for reference.In this new model,the feature space was firstly partitioned into several subspaces,then the piecewise classification surface was developed by linking the optimal classification surfaces in each subspaces based on SVM.As the experimental results shown,validated with the Two Spiral Data and the actually measuring data,the performance of PSVM such as computational efficiency,classification capability and generalized capability are improved obviously in contrast to SVM.