Abstract
In this paper the data classification technique, implying the consistent application of the SVM and Parzen classifiers, has been suggested. The Parzen classifier allows improving the accuracy of the data classification on the basis of the SVM classifier. The Parzen classifier is applied for data of subareas near the hyperplane dividing the classes. These subareas are determined experimentally for the concrete dataset. The recommendations on the use of the Parzen classifier near the hyperplane dividing the classes have been provided. The examples of application of the offered technique for the solving the data classification problem have been given.
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