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An interface for training Fuzzy DBScan with both Fuzzy Core and Fuzzy Border. Therefore, the package provides a method to initialize and run the algorithm and a function to predict new data w.t.h. of 'R6'. The package is build upon the paper "Fuzzy Extensions of the DBScan algorithm" from Ienco and Bordogna (2018) <doi:10.1007/s00500-016-2435-0>. A predict function assigns new data according to the same criteria as the algorithm itself. However, the prediction function freezes the algorithm to preserve the trained cluster structure and treats each new prediction object individually.
Version: | 0.0.3 |
Depends: | R (≥ 4.0.0) |
Imports: | ggplot2, R6, data.table, dbscan, checkmate |
Suggests: | testthat (≥ 3.0.0), rmarkdown, factoextra, spelling |
Published: | 2023-01-10 |
DOI: | 10.32614/CRAN.package.FuzzyDBScan |
Author: | Henri Funk [aut, cre] |
Maintainer: | Henri Funk <Henri.Funk at stat.uni-muenchen.de> |
License: | LGPL-3 |
NeedsCompilation: | no |
Language: | en-US |
Materials: | README NEWS |
CRAN checks: | FuzzyDBScan results |
Reference manual: | FuzzyDBScan.pdf |
Package source: | FuzzyDBScan_0.0.3.tar.gz |
Windows binaries: | r-devel: FuzzyDBScan_0.0.3.zip, r-release: FuzzyDBScan_0.0.3.zip, r-oldrel: FuzzyDBScan_0.0.3.zip |
macOS binaries: | r-release (arm64): FuzzyDBScan_0.0.3.tgz, r-oldrel (arm64): FuzzyDBScan_0.0.3.tgz, r-release (x86_64): FuzzyDBScan_0.0.3.tgz, r-oldrel (x86_64): FuzzyDBScan_0.0.3.tgz |
Reverse imports: | RMaCzek |
Reverse suggests: | FACT |
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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.