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leaderCluster  

Leader Clustering Algorithm
View on CRAN: Click here


Download and install leaderCluster package within the R console
Install from CRAN:
install.packages("leaderCluster")

Install from Github:
library("remotes")
install_github("cran/leaderCluster")

Install by package version:
library("remotes")
install_version("leaderCluster", "1.5")



Attach the package and use:
library("leaderCluster")
Maintained by
Taylor B. Arnold
[Scholar Profile | Author Map]
First Published: 2014-12-16
Latest Update: 2023-03-24
Description:
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.
How to cite:
Taylor B. Arnold (2014). leaderCluster: Leader Clustering Algorithm. R package version 1.5, https://cran.r-project.org/web/packages/leaderCluster. Accessed 30 Apr. 2025.
Previous versions and publish date:
1.2 (2014-12-16 00:58), 1.3 (2022-08-17 11:30)
Other packages that cited leaderCluster R package
View leaderCluster citation profile
Other R packages that leaderCluster depends, imports, suggests or enhances
Complete documentation for leaderCluster
Functions, R codes and Examples using the leaderCluster R package
Some associated functions: leaderCluster . 
Some associated R codes: leaderCluster.R .  Full leaderCluster package functions and examples
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