FuzzyDBScan: Run and Predict a Fuzzy DBScan

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

Documentation:

Reference manual:

FuzzyDBScan.pdf

Downloads:

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 dependencies:

Reverse imports:	RMaCzek
Reverse suggests:	FACT

Linking:

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