densityClust (0.3)

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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.

Maintainer: Thomas Lin Pedersen
Author(s): Thomas Lin Pedersen [aut, cre], Sean Hughes [aut], Xiaojie Qiu [aut]

License: GPL (>= 2)

Uses: FNN, ggplot2, ggrepel, gridExtra, RColorBrewer, Rcpp, Rtsne, testthat

Released about 2 years ago.

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