Clustering on the Edge: Learning Structure in Graphs

5 May 2016Matt BarnesArtur Dubrawski

With the recent popularity of graphical clustering methods, there has been an increased focus on the information between samples. We show how learning cluster structure using edge features naturally and simultaneously determines the most likely number of clusters and addresses data scale issues... (read more)

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