leaderCluster: Leader Clustering Algorithm

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.

Version:	1.5
Published:	2023-03-24
DOI:	10.32614/CRAN.package.leaderCluster
Author:	Taylor B. Arnold
Maintainer:	Taylor B. Arnold <tarnold2 at richmond.edu>
License:	LGPL-2
NeedsCompilation:	yes
Materials:	README
CRAN checks:	leaderCluster results

Documentation:

Reference manual:

leaderCluster.html , leaderCluster.pdf

Downloads:

Package source:	leaderCluster_1.5.tar.gz
Windows binaries:	r-devel: leaderCluster_1.5.zip, r-release: leaderCluster_1.5.zip, r-oldrel: leaderCluster_1.5.zip
macOS binaries:	r-release (arm64): leaderCluster_1.5.tgz, r-oldrel (arm64): leaderCluster_1.5.tgz, r-release (x86_64): leaderCluster_1.5.tgz, r-oldrel (x86_64): leaderCluster_1.5.tgz
Old sources:	leaderCluster archive

Reverse dependencies:

Reverse imports:

flownet

Linking:

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