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.
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=leaderCluster
to link to this page.