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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>.
Reference manual: | FCPS.pdf |
Vignettes: |
The FCPS package |
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-release (arm64): FCPS_1.3.4.tgz, r-oldrel (arm64): 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 imports: | FuseSOM |
Reverse suggests: | DRquality, ScatterDensity |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.