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FEATURE EXTRACTION AND CLASSIFICATION METHOD BASED ON SUPPORT VECTOR DATA DESCRIPTION AND SYSTEM THEREOF
FEATURE EXTRACTION AND CLASSIFICATION METHOD BASED ON SUPPORT VECTOR DATA DESCRIPTION AND SYSTEM THEREOF
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机译：基于支持向量数据描述的特征提取与分类方法及其系统
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摘要
A feature extraction and classification method based on support vector data description is provided, which includes: calculating, for each sample, Euclidean distances from the sample to spherical centers of multiple hypersphere models corresponding to different data categories, where the multiple hypersphere models are acquired in advance by training using a support vector data description algorithm(s101); substituting, for each sample, the Euclidean distances and radiuses of the hypersphere models respectively corresponding to the Euclidean distances into a new feature relation equation, to acquire a new feature sample corresponding to the sample, where the new feature samples constitute a new feature sample set(s102); and performing classification on the new feature sample set using a preset classification algorithm, to acquire a classification result(s103). With the method, a calculation amount in feature extraction can be reduced, and the speed of data classification can be increased. A feature extraction and classification system based on support vector data description having the above advantages is further provided.
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