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: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=FCPS to link to this page.
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