Self-adaptive SVDD integrated with AP clustering for one-class classification
نویسندگان
چکیده
منابع مشابه
Repulsive-SVDD Classification
Support vector data description (SVDD) is a well-known kernel method that constructs a minimal hypersphere regarded as a data description for a given data set. However SVDD does not take into account any statistical distribution of the data set in constructing that optimal hypersphere, and SVDD is applied to solving one-class classification problems only. This paper proposes a new approach to S...
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ژورنال
عنوان ژورنال: Pattern Recognition Letters
سال: 2016
ISSN: 0167-8655
DOI: 10.1016/j.patrec.2016.10.009