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MajKMeans

0.1.0

k-Means Algorithm with a Majorization-Minimization Method

0packages depend
2Kdownloads / year
test coverage
9/13checks pass

Overview

About
Maintained by Sheikhi AyyubFirst published 2020-03-281 releasesCRAN page ↗

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.

Install

Health

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
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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
  • NOTE2026-03-10
    9 OK · 5 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
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Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

2K
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Dependencies

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0 external dependencies (excludes base and recommended)
Depends (0)
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Imports (1)
MASS
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Suggests (0)
none
Enhances (0)
none
Reverse dependencies
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Code & Tests

People & History

People (2)
Maintainer (1)
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Authors (2)
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Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.0Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

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
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