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depscope/conda/r-densityclust

r-densityclust

condav0.3.3

An improved implementation (based on k-nearest neighbors) of the density peak clustering algorithm, originally described by Alex Rodriguez and Alessandro Laio (Science, 2014 vol. 344). It can handle large datasets (> 100, 000 samples) very efficiently. It was initially implemented by Thomas Lin Pedersen, with inputs from Sean Hughes and later improved by Xiaojie Qiu to handle large datasets with kNNs.

License GPL-2.0-or-later4 versions1 maintainers0 deps746 weekly dl
49
/ 100
Health
safe to use

[email protected] is safe to use (health: 49/100)

Health breakdown0 – 100
10/25
maintenance
3/20
popularity
25/25
security
9/15
maturity
2/15
community
Vulnerabilities
0
none known

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First published · 2021-05-27 04:11:16.301000+00:00

Last updated · 2025-09-22 22:02:54.591000+00:00

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