Sfoglia per Soggetto "Divisive hierarchical clustering"
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Nonlinear dimensionality reduction for clustering
(2020)We introduce an approach to divisive hierarchical clustering that is capable of identifying clusters in nonlinear manifolds. This approach uses the isometric mapping (Isomap) to recursively embed (subsets of) the data in ...