ProjectionBasedClustering: Projection Based Clustering

A clustering approach for every projection method based on the generalized U*-matrix visualization of a topographic map is made available here [Thrun/Ultsch,2017] <doi:10.13140/RG.2.2.13124.53124>. The number of clusters and the cluster structure can be estimated by counting the valleys in a topographic map. If the number of clusters and the clustering method are chosen correctly, then the clusters will be well separated by mountains in the visualization. Most projection methods are wrappers for already available methods in R. However, the neighbor retrieval visualizer (NeRV) is based on C++ source code of the 'dredviz' software package and the Curvilinear Component Analysis (CCA) is translated from 'MATLAB' ('SOM Toolbox' 2.0) to R.

Version: 1.0.5
Depends: R (≥ 3.0)
Imports: Rcpp, ggplot2, stats, graphics, vegan, deldir, geometry, GeneralizedUmatrix, shiny, shinyjs
LinkingTo: Rcpp
Suggests: fastICA, tsne, FastKNN, MASS, pcaPP, spdep, methods, pracma, grid, mgcv, fields, png, reshape2
Published: 2017-11-17
Author: Michael Thrun [aut, cre], Florian Lerch [aut], Felix Pape [aut], Kristian Nybo [cph], Jarkko Venna [cph]
Maintainer: Michael Thrun <m.thrun at gmx.net>
License: GPL-3
URL: https://www.uni-marburg.de/fb12/datenbionik/software-en
NeedsCompilation: yes
SystemRequirements: C++11
CRAN checks: ProjectionBasedClustering results

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Reference manual: ProjectionBasedClustering.pdf
Package source: ProjectionBasedClustering_1.0.5.tar.gz
Windows binaries: r-devel: ProjectionBasedClustering_1.0.5.zip, r-release: ProjectionBasedClustering_1.0.5.zip, r-oldrel: ProjectionBasedClustering_1.0.4.zip
OS X El Capitan binaries: r-release: ProjectionBasedClustering_1.0.5.tgz
OS X Mavericks binaries: r-oldrel: ProjectionBasedClustering_1.0.5.tgz
Old sources: ProjectionBasedClustering archive

Reverse dependencies:

Reverse suggests: DatabionicSwarm, GeneralizedUmatrix

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