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CrossClustering  

A Partial Clustering Algorithm
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("CrossClustering", "4.1.2")



Attach the package and use:
library("CrossClustering")
Maintained by
Paola Tellaroli
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-03-29
Latest Update: 2024-05-14
Description:
Provide the 'CrossClustering' algorithm (Tellaroli et al. (2016) <doi:10.1371/journal.pone.0152333>), which is a partial clustering algorithm that combines the Ward's minimum variance and Complete Linkage algorithms, providing automatic estimation of a suitable number of clusters and identification of outlier elements.
How to cite:
Paola Tellaroli (2016). CrossClustering: A Partial Clustering Algorithm. R package version 4.1.2, https://cran.r-project.org/web/packages/CrossClustering. Accessed 23 Dec. 2024.
Previous versions and publish date:
3.0 (2016-03-29 13:34), 4.0.3 (2018-07-30 17:50)
Other packages that cited CrossClustering R package
View CrossClustering citation profile
Other R packages that CrossClustering depends, imports, suggests or enhances
Complete documentation for CrossClustering
Functions, R codes and Examples using the CrossClustering R package
Full CrossClustering package functions and examples
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