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densityClust: Clustering by Fast Search and Find of Density Peaks

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.

Version: 0.3.3
Imports: FNN, ggplot2, ggrepel, grDevices, gridExtra, RColorBrewer, Rtsne
LinkingTo: cpp11
Suggests: covr, testthat
Published: 2024-01-29
DOI: 10.32614/CRAN.package.densityClust
Author: Thomas Lin Pedersen [aut, cre], Sean Hughes [aut], Xiaojie Qiu [aut]
Maintainer: Thomas Lin Pedersen <thomasp85 at gmail.com>
BugReports: https://github.com/thomasp85/densityClust/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/thomasp85/densityClust
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: densityClust results

Documentation:

Reference manual: densityClust.pdf

Downloads:

Package source: densityClust_0.3.3.tar.gz
Windows binaries: r-devel: densityClust_0.3.3.zip, r-release: densityClust_0.3.3.zip, r-oldrel: densityClust_0.3.3.zip
macOS binaries: r-release (arm64): densityClust_0.3.3.tgz, r-oldrel (arm64): densityClust_0.3.3.tgz, r-release (x86_64): densityClust_0.3.3.tgz, r-oldrel (x86_64): densityClust_0.3.3.tgz
Old sources: densityClust archive

Reverse dependencies:

Reverse suggests: FCPS

Linking:

Please use the canonical form https://CRAN.R-project.org/package=densityClust to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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