Cluster Ensembles Optimization Using Coral Reefs Optimization Algorithm

摘要

The main aim of this paper is to combine multiple partitions generated by different clustering algorithms into a single clustering solution (consensus partition), using a new bio-inspired optimization technique to optimize the cluster ensembles. In this proposed technique, the cluster ensembles are heterogeneously created and the initial partitions are combined through a method which uses the Coral Reefs Optimization algorithm, resulting in a consensus partition.