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hkclustering  

Ensemble Clustering using K Means and Hierarchical Clustering
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("hkclustering", "1.0.1")



Attach the package and use:
library("hkclustering")
Maintained by
Ilan Fridman Rojas
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-09-15
Latest Update: 2023-08-19
Description:
Implements an ensemble algorithm for clustering combining a k-means and a hierarchical clustering approach.
How to cite:
Ilan Fridman Rojas (2016). hkclustering: Ensemble Clustering using K Means and Hierarchical Clustering. R package version 1.0.1, https://cran.r-project.org/web/packages/hkclustering. Accessed 30 Apr. 2025.
Previous versions and publish date:
1.0.1 (2018-01-13 23:27), 1.0 (2016-09-15 15:46)
Other packages that cited hkclustering R package
View hkclustering citation profile
Other R packages that hkclustering depends, imports, suggests or enhances
Functions, R codes and Examples using the hkclustering R package
Some associated functions: centroidssummary . hkclusplus . hkclustering-package . hkclustering . 
Some associated R codes: centroidssummary.R . hkclusplus.R . hkclustering.R .  Full hkclustering package functions and examples
Downloads during the last 30 days
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