A cluster in cluster analysis is a nonempty group of observations treated as similar under the chosen representation and dissimilarity. A partition assigns each observation to exactly one cluster; agglomerative hierarchical clustering supplies a nested sequence of such partitions. An algorithmic cluster need not correspond to a distinct probabilistic population.
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