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 ndimensions using Lpdistances (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.
Package details 


Author  Taylor B. Arnold 
Maintainer  Taylor B. Arnold <[email protected]> 
License  LGPL2 
Version  1.2 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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