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RelativeDistClust

0.1.0

Clustering with a Novel Non Euclidean Relative Distance

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4.6Kdownloads / year
79.7%test coverage
13/13checks pass

Overview

About
Maintained by Irene Creus MartíFirst published 2025-09-221 releasesCRAN page ↗

Using the novel Relative Distance to cluster datasets. Implementation of a clustering approach based on the k-means algorithm that can be used with any distance. In addition, implementation of the Hartigan and Wong method to accommodate alternative distance metrics. Both methods can operate with any distance measure, provided a suitable method is available to compute cluster centers under the chosen metric. Additionally, the k-medoids algorithm is implemented, offering a robust alternative for clustering without the need of computing cluster centers under the chosen metric. All three methods are designed to support Relative distances, Euclidean distances, and any user-defined distance functions. The Hartigan and Wong method is described in Hartigan and Wong (1979) doi:10.2307/2346830 and an explanation of the k-medoids algorithm can be found in Reynolds et al (2006) doi:10.1007/s10852-005-9022-1.

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Health

CRAN checks
13OK
Slowest check: 1.5 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.55
79.7%
Coverage · measured lines
100%
Documentation · exports
6
Dependencies · direct
Check history
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 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
24%

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Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)
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Suggests (5)
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Reverse dependencies
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Code & Tests

People & History

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Maintainer (1)
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Authors (1)
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Listed in earlier versions (1)
no longer listed · 0.1.0
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
2025-09-22
Total releases
1 / 1 yrs
License
GPL-3 OSI
Download size
33 KB
Installed size
not tracked yet
With dependencies
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