HPDBSCAN

HPDBSCAN: Highly parallel DBSCAN (HPDBSCAN) is a shared- and distributed-memory parallel implementation of the Density-Based Spatial Clustering for Applications with Noise (DBSCAN) algorithm. It is written in C++ and may be used as shared library and command line tool.

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References in zbMATH (referenced in 2 articles )

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  1. Mai, Son T.; Assent, Ira; Jacobsen, Jon; Dieu, Martin Storgaard: Anytime parallel density-based clustering (2018)
  2. Neukirchen, Helmut: Elephant against Goliath: performance of big data versus high-performance computing DBSCAN clustering implementations (2018)