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 mathematik.uni-marburg.de> |
License: |
GPL-3 |
URL: |
https://www.uni-marburg.de/fb12/datenbionik/software-en |
NeedsCompilation: |
yes |
SystemRequirements: |
C++11 |
CRAN checks: |
GeneralizedUmatrix results |