FCPS: Fundamental Clustering Problems Suite

Over sixty clustering algorithms are provided in this package with consistent input and output, which enables the user to try out algorithms swiftly. Additionally, 26 statistical approaches for the estimation of the number of clusters as well as the mirrored density plot (MD-plot) of clusterability are implemented. The packages is published in Thrun, M.C., Stier Q.: "Fundamental Clustering Algorithms Suite" (2021), SoftwareX, <doi:10.1016/j.softx.2020.100642>. Moreover, the fundamental clustering problems suite (FCPS) offers a variety of clustering challenges any algorithm should handle when facing real world data, see Thrun, M.C., Ultsch A.: "Clustering Benchmark Datasets Exploiting the Fundamental Clustering Problems" (2020), Data in Brief, <doi:10.1016/j.dib.2020.105501>.

Version:	1.3.4
Depends:	R (≥ 3.5.0)
Imports:	mclust, ggplot2, DataVisualizations, methods
Suggests:	mlpack, kernlab, cclust, dbscan, kohonen, MCL, ADPclust, cluster, DatabionicSwarm, orclus, subspace, flexclust, ABCanalysis, apcluster, pracma, EMCluster, pdfCluster, parallelDist, plotly, ProjectionBasedClustering, GeneralizedUmatrix, mstknnclust, densityClust, parallel, energy, R.utils, tclust, Spectrum, genie, protoclust, fastcluster, clusterability, signal, reshape2, PPCI, clustrd, smacof, rgl, prclust, CEC, dendextend, moments, prabclus, VarSelLCM, sparcl, mixtools, HDclassif, clustvarsel, yardstick, knitr, rmarkdown, igraph, leiden, clustMixType, clusterSim, NetworkToolbox, ClusterR, partitionComparison
Published:	2023-10-19
DOI:	10.32614/CRAN.package.FCPS
Author:	Michael Thrun [aut, cre, cph], Peter Nahrgang [ctr, ctb], Felix Pape [ctr, ctb], Vasyl Pihur [ctb], Guy Brock [ctb], Susmita Datta [ctb], Somnath Datta [ctb], Luis Winckelmann [com], Alfred Ultsch [dtc, ctb], Quirin Stier [ctb, rev]
Maintainer:	Michael Thrun <m.thrun at gmx.net>
BugReports:	https://github.com/Mthrun/FCPS/issues
License:	GPL-3
URL:	https://www.deepbionics.org/
NeedsCompilation:	no
SystemRequirements:	Pandoc (>= 1.12.3)
Citation:	FCPS citation info
Materials:	README
In views:	Cluster
CRAN checks:	FCPS results

Documentation:

Reference manual:	FCPS.pdf
Vignettes:	The FCPS package (source, R code)

Downloads:

Package source:	FCPS_1.3.4.tar.gz
Windows binaries:	r-devel: FCPS_1.3.4.zip, r-release: FCPS_1.3.4.zip, r-oldrel: FCPS_1.3.4.zip
macOS binaries:	r-devel (arm64): FCPS_1.3.4.tgz, r-release (arm64): FCPS_1.3.4.tgz, r-oldrel (arm64): FCPS_1.3.4.tgz, r-devel (x86_64): FCPS_1.3.4.tgz, r-release (x86_64): FCPS_1.3.4.tgz, r-oldrel (x86_64): FCPS_1.3.4.tgz
Old sources:	FCPS archive

Reverse dependencies:

Reverse imports:	FuseSOM
Reverse suggests:	DRquality, ScatterDensity

Linking:

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