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In data mining and statistics, hierarchical clustering[1] (also called hierarchical cluster analysis or HCA) is a method of cluster analysis that seeks to build a hierarchy of clusters. Strategies for hierarchical clustering generally fall into two categories: Agglomerative: Agglomerative clustering, often referred to as a "bottom-up" approach, begins with each data point as an individual ...
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My Mother Died Hiding An Enormous Secret. Years Later, A DNA Test Exposed The Truth.