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.

Install the latest version of this package by entering the following in R:
install.packages("leaderCluster")
AuthorTaylor B. Arnold
Date of publication2014-12-16 00:58:11
MaintainerTaylor B. Arnold <taylor.arnold@acm.org>
LicenseLGPL-2
Version1.2

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Files

src
src/leaderCluster.cpp
NAMESPACE
R
R/leaderCluster.R
MD5
DESCRIPTION
man
man/leaderCluster.Rd

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