Package: FCPS
Type: Package
Title: Fundamental Clustering Problems Suite
Version: 1.0.0
Date: 2020-02-02
Authors@R: c(person("Michael", "Thrun", email= "m.thrun@gmx.net",role=c("aut","cre","cph")),person("Peter", "Nahrgang",role=c("ctr","ctb")),person("Alfred", "Ultsch",role=c("dtc","ctb")))
Maintainer: Michael Thrun <m.thrun@gmx.net>
Description: Many conventional Clustering Algorithms are provided in this package with consistent input and output, which enables the user to tryout algorithms swiftly. Moreover, the fundamental clustering problems suite (FCPS) offers a variety of clustering challenges any algorithm should handle when facing real world data. The datasets were introduced in Ultsch, A.: "Clustering with SOM: U*C", In Workshop on Self-Organizing Maps, 2005.
Imports: mclust
Suggests: DataVisualizations, kernlab, cclust, vegan, 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
Depends: R (>= 2.10)
License: GPL-3
LazyData: TRUE
LazyLoad: yes
RoxygenNote: 7.0.2
NeedsCompilation: no
Packaged: 2020-02-03 09:17:57 UTC; MT
Author: Michael Thrun [aut, cre, cph],
  Peter Nahrgang [ctr, ctb],
  Alfred Ultsch [dtc, ctb]
Repository: CRAN
Date/Publication: 2020-02-11 10:50:14 UTC
