Package: GeneralizedUmatrix
Type: Package
Title: Credible Visualization for Two-Dimensional Projections of Data
Version: 1.1.5
Date: 2019-02-03
Authors@R: c(person("Michael", "Thrun", email= "m.thrun@gmx.net",role=c("aut","cre","cph")),person("Alfred", "Ultsch",role="ths"))
Maintainer: Michael Thrun <m.thrun@gmx.net>
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 based on the book of Thrun, M.C.: "Projection Based Clustering through Self-Organization and Swarm Intelligence" (2018) <DOI:10.1007/978-3-658-20540-9>.
License: GPL-3
Imports: Rcpp, ggplot2
Suggests: DataVisualizations, DatabionicSwarm, matrixStats, rgl, grid,
        mgcv, png, ProjectionBasedClustering, reshape2, fields,
        ABCanalysis, knitr (>= 1.12), rmarkdown (>= 0.9)
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 3.0)
NeedsCompilation: yes
SystemRequirements: C++11
LazyLoad: yes
LazyData: TRUE
URL: http://www.deepbionics.org
Encoding: UTF-8
VignetteBuilder: knitr
BugReports: https://github.com/Mthrun/GeneralizedUmatrix/issues
Packaged: 2019-02-03 11:49:28 UTC; MT
Author: Michael Thrun [aut, cre, cph],
  Alfred Ultsch [ths]
Repository: CRAN
Date/Publication: 2019-02-03 12:54:40 UTC
Built: R 3.4.4; x86_64-w64-mingw32; 2019-04-26 23:22:53 UTC; windows
Archs: i386, x64
