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.


Reference manual

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0.9.5 by Michael Thrun, a month ago

Browse source code at

Authors: Michael Thrun, Alfred Ultsch

Documentation:   PDF Manual  

GPL-3 license

Imports Rcpp, shiny, shinyjs, ggplot2

Suggests matrixStats, rgl, grid, mgcv, png, ProjectionBasedClustering, reshape2, fields

Linking to Rcpp, RcppArmadillo

System requirements: C++11

Imported by DatabionicSwarm, ProjectionBasedClustering.

See at CRAN