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Density Adaptive Parallel Clustering
Published 11 Jul 2014 in cs.DS, cs.LG, and stat.ML | (1407.3242v1)
Abstract: In this paper we are going to introduce a new nearest neighbours based approach to clustering, and compare it with previous solutions; the resulting algorithm, which takes inspiration from both DBscan and minimum spanning tree approaches, is deterministic but proves simpler, faster and doesnt require to set in advance a value for k, the number of clusters.
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