divisive clustering

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“A top-down approach to clustering where the top node contains all of the data elements. At each level, the algorithm divides the existing cluster into two new clusters. Typically, the algorithm takes the point that is farthest away from the existing center and then determines which points are closer to the new point than to the existing center.”

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By |February 1st, 2019|Comments Off on divisive clustering