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mstclustering  

"MST-Based Clustering"
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("mstclustering", "1.0.0.0")



Attach the package and use:
library("mstclustering")
Maintained by
Kevin Michael Frick
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-02-08
Latest Update: 2022-02-08
Description:
Implements a minimum-spanning-tree-based heuristic for k-means clustering using a union-find disjoint set and the algorithm in Kruskal (1956) .
How to cite:
Kevin Michael Frick (2022). mstclustering: "MST-Based Clustering". R package version 1.0.0.0, https://cran.r-project.org/web/packages/mstclustering. Accessed 22 Dec. 2024.
Previous versions and publish date:
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Other R packages that mstclustering depends, imports, suggests or enhances
Complete documentation for mstclustering
Functions, R codes and Examples using the mstclustering R package
Some associated functions: find.set . gen.child.list.mst . gen.edge.list . is.same.set . kruskal . mst.cluster . reset.ufds . union.set . 
Some associated R codes: mstclustering.R .  Full mstclustering package functions and examples
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