Power Weighted Shortest Paths for Clustering Euclidean Data

30 May 2019Daniel MckenzieSteven Damelin

We study the use of power weighted shortest path distance functions for clustering high dimensional Euclidean data, under the assumption that the data is drawn from a collection of disjoint low dimensional manifolds. We argue, theoretically and experimentally, that this leads to higher clustering accuracy... (read more)

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