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GeneralizedUmatrix

Credible Visualization for Two-Dimensional Projections of Data

v1.3.1 · Jan 29, 2025 · GPL-3

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 <DOI: 10.1016/j.mex.2020.101093>.

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NOTE 11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE r-oldrel-macos-arm64

for GNU extensions in Makefiles

GNU make is a SystemRequirements.
NOTE r-oldrel-macos-x86_64

for GNU extensions in Makefiles

GNU make is a SystemRequirements.
NOTE r-oldrel-windows-x86_64

for GNU extensions in Makefiles

GNU make is a SystemRequirements.

Reverse Dependencies (4)

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Dependency Network

Dependencies Reverse dependencies Rcpp RcppParallel ggplot2 DatabionicSwarm GeneralizedUmatrixGPU ProjectionBasedClustering FCPS GeneralizedUmatrix

Version History

new 1.3.1 Mar 9, 2026