Leader Clustering Algorithm R package leaderCluster version 1.5 The leader clustering algorithm provides a means for clustering a set of data points. Unlike many other clustering algorithms it does not require the user to specify the number of clusters, but instead requires the approximate radius of a cluster as its primary tuning parameter. The package provides a fast implementation of this algorithm in n-dimensions using Lp-distances (with special cases for p=1,2, and infinity) as well as for spatial data using the Haversine formula, which takes latitude/longitude pairs as inputs and clusters based on great circle distances. Software Taylor B. Arnold <tarnold2@richmond.edu> Comprehensive R Archive Network (CRAN) Taylor B. Arnold LGPL-2 2023-03-24 application/tgz https://CRAN.R-project.org/package=leaderCluster doi:10.32614/CRAN.package.leaderCluster