Package: leaderCluster
Type: Package
Title: Leader Clustering Algorithm
Version: 1.5
Date: 2023-03-24
Author: Taylor B. Arnold
Maintainer: Taylor B. Arnold <tarnold2@richmond.edu>
Description: 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.
License: LGPL-2
LazyLoad: yes
NeedsCompilation: yes
RoxygenNote: 7.2.3
Packaged: 2023-03-24 16:26:10 UTC; admin
Repository: CRAN
Date/Publication: 2023-03-24 18:30:02 UTC
Built: R 4.1.3; x86_64-w64-mingw32; 2023-03-26 11:41:03 UTC; windows
Archs: i386, x64
