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GeneralizedUmatrixGPU

0.1.14Package record

Credible Visualization for Two-Dimensional Projections of Data

0packages depend
2.7Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Projections are common dimensionality reduction methods, which represent high-dimensional data in a two-dimensional space. However, when restricting the output space to two dimensions, which results in a two dimensional scatter plot (projection) of the data, low dimensional similarities do not represent high dimensional distances coercively [Thrun, 2018] <DOI: 10.1007/978-3-658-20540-9>. This could lead to a misleading interpretation of the underlying structures [Thrun, 2018]. By means of the 3D topographic map the generalized Umatrix is able to depict errors of these two-dimensional scatter plots. The package is derived from the book of Thrun, M.C.: "Projection Based Clustering through Self-Organization and Swarm Intelligence" (2018) DOI:10.1007/978-3-658-20540-9 and the main algorithm called simplified self-organizing map for dimensionality reduction methods is published in Thrun, M.C. and Ultsch, A.: "Uncovering High-dimensional Structures of Projections from Dimensionality Reduction Methods" (2020) DOI:10.1016/j.mex.2020.101093.

Install

Health

CRAN checks
13OK
Slowest check: 3.2 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK12 OK2026-04-25
  • NOTE12 OK, 2 NOTE2026-04-22
  • ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
Show 1 earlier changeHide 1 earlier change
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.1.14
READMENoVignettesNoNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
4includes a package overview page
Examples that run
100%3 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
75%

Downloads

2.7K
CRAN downloads in the past year
Rank #19,504 · ~8/day · ~229/mo
Daily download trend is not available in this view yet.
24530 days
68090 days
2.7K1 year
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Also on391 r2u5 autocran

Dependencies

Declared dependencies
17 external dependencies (excludes base and recommended)

Installing GeneralizedUmatrixGPU adds 21 packages (11 with compiled code, 18 MB of source tarballs). Heaviest: ggplot2 6.0 MB, Rcpp 1.8 MB, isoband 1.5 MB.

Depends (1)
R >= 3.0
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 0.1.8 (2025)
Author, Copyright holder
Copyright holder
Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.14Latest
    record
    2026-01-27 · current release · diff ↗
  • 0.1.10
    record
    2026-01-14 · diff ↗
  • 0.1.8
    record
    2025-11-17
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-11-17
Total releases
3 / 1 yrs
License
GPL-3 OSI
Minimum R
≥ 3.0
Bundled data
12 KB / 2 files
Download size
90 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("GeneralizedUmatrixGPU")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1016/j.mex.2020.101093.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for GeneralizedUmatrixGPU version 0.1.14 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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