A self-adaptive spectral clustering algorithm

Abstract

Most existing algorithms on spectral clustering are not able to determine the number of clusters. In this paper, we prove theoretically that the eigenvectors of the affinity matrix can be used directly to cluster the data points. And we suggest exploiting the structure of the eigenvectors to infer automatically the number of clusters. As a result, a self… (More)

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