GeneralizedUmatrix: Credible Visualization for Two-Dimensional Projections of Data

Projections from a high-dimensional data space onto a two-dimensional plane are used to detect structures, such as clusters, in multivariate data. The generalized Umatrix is able to visualize errors of these two-dimensional scatter plots by using a 3D topographic map.

Version: 0.9.5
Depends: R (≥ 3.0)
Imports: Rcpp, shiny, shinyjs, ggplot2
LinkingTo: Rcpp, RcppArmadillo
Suggests: matrixStats, rgl, grid, mgcv, png, ProjectionBasedClustering, reshape2, fields
Published: 2017-08-20
Author: Michael Thrun, Alfred Ultsch
Maintainer: Michael Thrun <mthrun at>
License: GPL-3
NeedsCompilation: yes
SystemRequirements: C++11
CRAN checks: GeneralizedUmatrix results


Reference manual: GeneralizedUmatrix.pdf
Package source: GeneralizedUmatrix_0.9.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: GeneralizedUmatrix_0.9.5.tgz
OS X Mavericks binaries: r-oldrel: GeneralizedUmatrix_0.9.5.tgz
Old sources: GeneralizedUmatrix archive

Reverse dependencies:

Reverse imports: DatabionicSwarm, ProjectionBasedClustering


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