Simple and scalable constrained clustering: a generalized spectral method

Simple and scalable constrained clustering: a generalized spectral method

We present a simple spectral approach to the well-studied constrained clustering problem. It captures constrained clustering as a generalized eigenvalue problem with graph Laplacians. The algorithm works in nearly-linear time and provides concrete guarantees for the quality of the clusters, at least...

書誌詳細
第一著者:	Cucuringu, M
フォーマット:	Conference item
出版事項:	Microtome Publishing 2016

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