Least square consensus clustering: Criteria, methods, experiments

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Abstract

We develop a consensus clustering framework developed three decades ago in Russia and experimentally demonstrate that our least squares consensus clustering algorithm consistently outperforms several recent consensus clustering methods. © 2013 Springer-Verlag.

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Mirkin, B. G., & Shestakov, A. (2013). Least square consensus clustering: Criteria, methods, experiments. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7814 LNCS, pp. 764–767). https://doi.org/10.1007/978-3-642-36973-5_79

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