MajKMeans
0.1.0k-Means Algorithm with a Majorization-Minimization Method
0packages depend
2Kdownloads / year
–test coverage
9/13checks pass
Overview
About
A hybrid of the K-means algorithm and a Majorization-Minimization method to introduce a robust clustering. The reference paper is: Julien Mairal, (2015) doi:10.1137/140957639. The two most important functions in package 'MajKMeans' are cluster_km() and cluster_MajKm(). cluster_km() clusters data without Majorization-Minimization and cluster_MajKm() clusters data with Majorization-Minimization method. Both of these functions calculate the sum of squares (SS) of clustering.
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CRAN checks
4NOTE9OK
Failing flavors
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE r-devel-linux-x86_64-fedora-clang
- NOTE r-devel-linux-x86_64-fedora-gcc
Slowest check: 45 s · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
1
Dependencies · direct
Check history
- NOTE2026-03-109 OK · 5 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
Downloads
2K
CRAN downloads in the past year
Rank #22,323 · ~5/day · ~167/mo
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16430 days
53290 days
2K1 year
Also on95 r2u18 autocran
Dependencies
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0 external dependencies (excludes base and recommended)
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none
Imports (1)
MASS
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none
Reverse dependencies
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Code & Tests
People & History
People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
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Package Timeline
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.1.0Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
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Package metadata
- First published
- 2020-03-28
- Total releases
- 1 / 6 yrs
- License
- GPL-3 OSI
- Download size
- 3.6 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet