Package: GeneralizedUmatrixGPU
Type: Package
Title: Credible Visualization for Two-Dimensional Projections of Data
Version: 0.1.14
Date: 2026-01-26
Authors@R: c(person("Quirin", "Stier", email= "Quirin_Stier@gmx.de",role=c("aut","cre"), comment = c(ORCID = "0000-0002-7896-4737")), person("Michael", "Thrun", role=c("aut","cph"), comment = c(ORCID = "0000-0001-9542-5543")), person("The Khronos Group Inc.", role=c("cph")))
Maintainer: Quirin Stier <Quirin_Stier@gmx.de>
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]
        <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>.
License: GPL-3
Imports: Rcpp (>= 1.0.8), RcppParallel (>= 5.1.4), ggplot2,
        GeneralizedUmatrix
Suggests: DataVisualizations, rgl, grid, mgcv, png, reshape2, fields,
        ABCanalysis, plotly, deldir, methods, knitr (>= 1.12),
        rmarkdown (>= 0.9)
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
Depends: R (>= 3.0)
NeedsCompilation: yes
SystemRequirements: C++17, GNU make, pandoc (>=1.12.3, needed for
        vignettes), OpenCL shared library (provided by an SDK such as
        AMD/NVIDIA)
LazyLoad: yes
LazyData: TRUE
Encoding: UTF-8
Packaged: 2026-10-22 11:33:39 UTC; root
Author: Quirin Stier [aut, cre] (ORCID:
        <https://orcid.org/0000-0002-7896-4737>), Michael Thrun [aut,
        cph] (ORCID: <https://orcid.org/0000-0001-9542-5543>), The
        Khronos Group Inc. [cph]
Config/pak/sysreqs: make ocl-icd-opencl-dev
Repository: https://cran.r-universe.dev
Date/Publication: 2026-01-27 15:30:02 UTC
RemoteUrl: https://github.com/cran/GeneralizedUmatrixGPU
RemoteRef: HEAD
RemoteSha: 21e72a53305683f4b72fd54bc8b501bc8bd3b08c