mgcv, png, ProjectionBasedClustering, reshape2, fields,
ABCanalysis, knitr (>= 1.12), rmarkdown (>= 0.9)

Authors@R: c(person("Michael", "Thrun", email= "m.thrun@gmx.net",role=c("aut","cre","cph"), comment = c(ORCID = "0000-0001-9542-5543")),person("Felix", "Pape",role=c("ctb","ctr")),person("Tim", "Schreier",role=c("ctb","ctr")),person("Luis", "Winckelman",role=c("ctb","ctr")),person("Alfred", "Ultsch",role="ths"))
ABCanalysis, plotly, deldir, shiny, knitr (>= 1.12), rmarkdown

Suggests: DataVisualizations, DatabionicSwarm, rgl, grid, mgcv, png,
plotly, deldir, shiny, methods, knitr (>= 1.12), rmarkdown (>=

Suggests: DataVisualizations, rgl, grid, mgcv, png, reshape2, fields,
ABCanalysis, plotly, deldir, methods, knitr (>= 1.12),

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>.

SystemRequirements: C++11, pandoc (>=1.12.3, needed for vignettes)

Authors@R: c(person("Michael", "Thrun", email= "m.thrun@gmx.net",role=c("aut","cre","cph"), comment = c(ORCID = "0000-0001-9542-5543")),person("Felix", "Pape",role=c("ctb","ctr")),person("Tim", "Schreier",role=c("ctb","ctr")),person("Luis", "Winckelman",role=c("ctb","ctr")),person("Quirin", "Stier",role=c("ctb","ctr")),person("Alfred", "Ultsch",role="ths"))
Imports: Rcpp (>= 1.0.8), RcppParallel (>= 5.1.4), ggplot2
SystemRequirements: C++11, GNU make, pandoc (>=1.12.3, needed for