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GeneralizedUmatrix  

Credible Visualization for Two-Dimensional Projections of Data
View on CRAN: Click here


Download and install GeneralizedUmatrix package within the R console
Install from CRAN:
install.packages("GeneralizedUmatrix")

Install from Github:
library("remotes")
install_github("cran/GeneralizedUmatrix")

Install by package version:
library("remotes")
install_version("GeneralizedUmatrix", "1.3.1")



Attach the package and use:
library("GeneralizedUmatrix")
Maintained by
Michael Thrun
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-05-18
Latest Update: 2025-01-29
Description:
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] . 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) and the main algorithm called simplified self-organizing map for dimensionality reduction methods is published in .
How to cite:
Michael Thrun (2017). GeneralizedUmatrix: Credible Visualization for Two-Dimensional Projections of Data. R package version 1.3.1, https://cran.r-project.org/web/packages/GeneralizedUmatrix. Accessed 09 Oct. 2026.
Previous versions and publish date:
0.9.4 (2017-05-18 11:23), 0.9.5 (2017-08-20 16:21), 1.0.0 (2018-01-31 19:13), 1.1.2 (2018-07-03 17:00), 1.1.4 (2019-01-27 14:30), 1.1.5 (2019-02-03 13:54), 1.1.6 (2019-11-20 22:30), 1.1.8 (2020-02-17 16:40), 1.1.9 (2020-03-23 15:50), 1.2.0 (2020-08-24 15:00), 1.2.1 (2020-10-25 11:40), 1.2.2 (2021-01-12 20:30), 1.2.4 (2022-05-25 17:30), 1.2.5 (2022-11-28 13:40), 1.2.6 (2023-05-30 12:20), (2026-07-09 08:05)
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