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Research in Computing Science
Information clustering means classifying information or partitioning some samples in clusters such that samples inside each cluster have maximum similarity to each other and maximum distance from other clusters. As clustering is unsupervised, selecting a specific algorithm for clustering of an unknown set may fail. As a consequence of problem complexity and deficiencies in basic clustering methods, most of studies have focused on ensemble clustering methods in recent years. Diversity in initialdoi:10.13053/rcs-102-1-8 fatcat:fwsnssw3sjcnfnezkms7af3o5a