r-cran-densityclust 0.3-2 (ppc64el binary) in ubuntu jammy

 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.