r-cran-densityclust - 0.3-2 main

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.