Learning topology of a labeled data set with the supervised generative gaussian graph
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چکیده
Discovering the topology of a set of labeled data in a Euclidian space can help to design better decision systems. In this work, we propose a supervised generative model based on the Delaunay Graph of some prototypes representing the labeled data.
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تاریخ انتشار 2007