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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "leaderCluster" in publications use:'
type: software
license: LGPL-2.0-only
title: 'leaderCluster: Leader Clustering Algorithm'
version: '1.5'
doi: 10.32614/CRAN.package.leaderCluster
abstract: 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.
authors:
- family-names: Arnold
  given-names: Taylor B.
  email: tarnold2@richmond.edu
- email: tarnold2@richmond.edu
repository: https://taylor-arnold.r-universe.dev
commit: 4cecc17344aee73bc9bbdd3466b711e76da0df1e
date-released: '2023-03-24'
contact:
- family-names: Arnold
  given-names: Taylor B.
  email: tarnold2@richmond.edu
- email: tarnold2@richmond.edu