GitHub / mariaderrico / DPA
The DPA package is the scikit-learn compatible implementation of the Density Peaks Advanced clustering algorithm. The algorithm provides robust and visual information about the clusters, their statistical reliability and their hierarchical organization.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mariaderrico%2FDPA
PURL: pkg:github/mariaderrico/DPA
Stars: 29
Forks: 9
Open issues: 3
License: bsd-3-clause
Language: Jupyter Notebook
Size: 36.5 MB
Dependencies parsed at: Pending
Created at: about 5 years ago
Updated at: 4 months ago
Pushed at: over 3 years ago
Last synced at: 4 months ago
Topics: clustering-algorithm, hierarchy-visualization, high-dimensional-data, non-parametric-density-estimation, python, scikit-learn