Doubly Stochastic Normalization for Spectral Clustering

Zass, Ron, Shashua, Amnon

Neural Information Processing Systems 

In this paper we focus on the issue of normalization of the affinity matrix in spectral clustering.We show that the difference between N-cuts and Ratio-cuts is in the error measure being used (relative-entropy versus L

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