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Regular version of the site

Book chapter

Least-squares consensus clustering versus: (a) other consensus approaches and (b) k-means

Mirkin B., Andrey Shestakov.

We develop a consensus clustering framework proposed three decades ago in Russia and experimentally demonstrate that our least squares consensus clustering algorithm consistently outperforms several recent consensus clustering methods. 

 

In book

Least-squares consensus clustering versus: (a) other consensus approaches and (b) k-means
Edited by: F. T. Aleskerov, B. I. Goldengorin, P. M. Pardalos. Vol. 92. Berlin: Springer, 2014.