1. Consensus clustering with differential evolution
- Creator:
- Sabo, Miroslav
- Format:
- bez média and svazek
- Type:
- model:article and TEXT
- Subject:
- consensus clustering, differential evolution, ensemble, and data
- Language:
- English
- Description:
- 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.
- Rights:
- http://creativecommons.org/publicdomain/mark/1.0/ and policy:public