A fragment-based iterative consensus clustering algorithm with a robust similarity

The consensus clustering technique combines multiple clustering results without accessing the original data. Consensus clustering can be used to improve the robustness of clustering results or to obtain the clustering results from multiple data sources. In this paper, we propose a novel definition o...

Ausführliche Beschreibung