The goal of clustering algorithms is to cluster documents into clusters that are internally coherent. Documents in a cluster should be as similar as possible to each other and as dissimilar as possible from documents in other clusters. The distribution and makeup of the data will determine what documents belong to their appropriate clusters.
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