MergeKmeans
0.2.0Clustering Large Datasets by Merging K-Means Solutions
Overview
Fast clustering of large datasets by hierarchically merging components of a K-means solution based on the pairwise overlap between the Gaussian mixture components implied by the K-means partition, as proposed by Melnykov and Michael (2020) doi:10.1007/s00357-019-09314-8. Implements the DEMP-K merging algorithm with single, Ward's, average, and complete linkages, the overlap map display for selecting the number of clusters, four K-means variants corresponding to Gaussian mixtures with spherical or elliptical, homoscedastic or heteroscedastic components, and a tool for selecting the number of K-means components.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-07-206 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 89%
- Return-value docs
- 100%
- References docs
- 50%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
1 release. R releases are shown for context.
- 0.2.0Latest2026-07-19 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-07-19
- Total releases
- 1 / 1 yrs
- License
- GPL (>= 2) OSI
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Start here. This is the citation for the package itself.
citation("MergeKmeans")CRAN DOI
https://doi.org/10.32614/CRAN.package.MergeKmeansBibTeX, derived from DESCRIPTION
@Manual{MergeKmeans,
title = {MergeKmeans: Clustering Large Datasets by Merging K-Means Solutions},
author = {Dong, Aqi and Li, Peng and Li, Xuejian and Liao, Yang-Li and Melnykov, Volodymyr},
year = {2026},
note = {R package version 0.2.0},
doi = {10.32614/CRAN.package.MergeKmeans},
url = {https://CRAN.R-project.org/package=MergeKmeans}
}Derived from the package DESCRIPTION, not from a citation file the authors wrote. If they publish one later, prefer it.
This is the citation for the package. It is not a citation for the R Observatory.
Cite this page
Use this when the claim is about a measurement on this page.
BibTeX
@misc{robservatoryMergeKmeans,
author = {Balamuta, James Joseph},
title = {{R} {Observatory}: Metrics for {MergeKmeans} version 0.2.0},
year = {2026},
publisher = {HJJB, LLC},
url = {https://r-observatory.thecoatlessprofessor.com/packages/MergeKmeans},
note = {Data set. Data release v2026-08-05}
}APA
Balamuta, J. J. (2026). R Observatory: Metrics for MergeKmeans version 0.2.0 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/packages/MergeKmeansRIS
TY - DATA
AU - Balamuta, James Joseph
TI - R Observatory: Metrics for MergeKmeans version 0.2.0
PY - 2026
PB - HJJB, LLC
N1 - Data release v2026-08-05
UR - https://r-observatory.thecoatlessprofessor.com/packages/MergeKmeans
ER - In prose
These package metrics were obtained from the R Observatory (Balamuta, 2026), data release v2026-08-05, https://r-observatory.thecoatlessprofessor.com/packages/MergeKmeans.Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.