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.
- Version1.3.4
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- FCPS citation info
- Last release10/19/2023
Documentation
Team
Michael Thrun
MaintainerShow author detailsVasyl Pihur
Show author detailsRolesContributorQuirin Stier
Alfred Ultsch
Show author detailsRolesdtc, ContributorSomnath Datta
Show author detailsRolesContributorFelix Pape
Show author detailsRolesctr, ContributorPeter Nahrgang
Show author detailsRolesctr, ContributorGuy Brock
Show author detailsRolesContributorSusmita Datta
Show author detailsRolesContributorLuis Winckelmann
Show author detailsRolesCompiler
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- Imports3 packages
- Suggests57 packages
- Reverse Suggests2 packages