Locally Adaptive Hierarchical Cluster Termination With Application To Individual Tree Delineation

12/01/2022

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by   Ashlin Richardson, et al.

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University of Victoria

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A clustering termination procedure which is locally adaptive (with respect to the hierarchical tree of sets representative of the agglomerative merging) is proposed, for agglomerative hierarchical clustering on a set equipped with a distance function. It represents a multi-scale alternative to conventional scale dependent threshold based termination criteria.