Clustering by Fast Search and Find of Density Peaks R package densityClust version 0.3.3 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. Software Imports: FNN, ggplot2, ggrepel, grDevices, gridExtra, RColorBrewer, Rtsne LinkingTo: cpp11 Suggests: covr, testthat Thomas Lin Pedersen <thomasp85@gmail.com> Comprehensive R Archive Network (CRAN) Thomas Lin Pedersen [aut, cre], Sean Hughes [aut], Xiaojie Qiu [aut] GPL (>= 2) 2024-01-29 application/tgz https://CRAN.R-project.org/package=densityClust doi:10.32614/CRAN.package.densityClust