Ensemble clustering methods combine multiple clustering results to yield a consensus partition that is often more robust, accurate and stable than any single clustering solution. These techniques ...

Clustering algorithms help parse large amounts of data, find correlations within subsets of the data, and assess similarity among elements within these subsets. They have become a hot field in recent ...