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Preprocessing power weighted shortest path data using a s-Well Separated Pair Decomposition

arXiv 2103.11216 ↗First posted 20 Mar 2021cs.CV cs.CG cs.DScited by 0

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Abstract (arXiv)

For s > 0, we consider an algorithm that computes all s-well separated pairs in certain point sets in ℝn, n >1. For an integer K >1, we also consider an algorithm that is a permutation of Dijkstra's algorithm, that computes K-nearest neighbors using a certain power weighted shortest path metric in ℝn, n > 1. We describe each algorithm and their respective dependencies on the input data. We introduce a way to combine both algorithms into a fused algorithm. Several open problems are given for future research.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 2 of its 12 references that are in the map. First posted on arXiv 20 Mar 2021.

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References · 2

  1. 2014Influential Feature PCA for high dimensional clusteringcited by 13
  2. 2019Power Weighted Shortest Paths for Clustering Euclidean Datacited by 10

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