DESCRIPTION

Package: GeneralizedUmatrixGPU
Type: Package
Title: Credible Visualization for Two-Dimensional Projections of Data
Version: 0.1.8
Date: 2025-11-04
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), ProjectionBasedClustering
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
Depends: R (>= 3.0)
NeedsCompilation: yes
SystemRequirements: 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
URL: https://github.com/Quirinms/GeneralizedUmatrixGPU/
BugReports: https://github.com/Quirinms/GeneralizedUmatrixGPU/issues/new