CRAN/E | FCPS

FCPS

Fundamental Clustering Problems Suite

Installation

About

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.

Citation FCPS citation info
www.deepbionics.org/
System requirements Pandoc (>= 1.12.3)
Bug report File report

Key Metrics

Version 1.3.4
R ≥ 3.5.0
Published 2023-10-19 162 days ago
Needs compilation? no
License GPL-3
CRAN checks FCPS results

Downloads

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Last 7 days 183 -25%
Last 30 days 856 -12%
Last 90 days 2.861 +20%
Last 365 days 10.602 +9%

Maintainer

Maintainer

Michael Thrun

m.thrun@gmx.net

Authors

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

Material

README
Reference manual
Package source

In Views

Cluster

Vignettes

The FCPS package

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

FCPS archive

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
Load all 58 items
(warning: might lead to performance issues and take some time)

Reverse Imports

FuseSOM

Reverse Suggests

DRquality
ScatterDensity