10/8/2018 An algorithm that aims to combine the benefits of both hierarchical clustering and scripts clustering.Read NowA clustering algorithm of this category is CHAMELEON. It is an agglomerative hierarchical algorithm that measures the similarity of two clusters based on a dynamic model. CHAMELEON finds the clusters of the data set using a two-phase algorithm:
During the next phase, CHAMELEON uses a clustering algorithm that combines these sub-clusters of the graph. For merging the sub-clusters it takes into account the relative interconnectivity and closeness of sub-clusters. Consequently, those pairs of clusters whose relative interconnectivity and proximity are above the user-defined threshold are merged.
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