Consensus clustering with differential evolution
Miroslav Sabo · Kybernetika · 2014
Consensus clustering algorithms are used to improve properties of traditional clustering methods, especially their accuracy and robustness.In this article, we introduce our approach that is based on a refinement of the set of initial partitions and uses differential evolution algorithm in order to find the most valid solution.Properties of the algorithm are demonstrated on four benchmark datasets.