FuzzySpec: Fuzzy Spectral Clustering with Variable-Weighted Adjacency Matrices

Implementation of the FVIBES, the Fuzzy Variable-Importance Based Eigenspace Separation algorithm as described in the paper by Ghashti, J.S., Hare, W., and J.R.J. Thompson (2025). Variable-Weighted Adjacency Constructions for Fuzzy Spectral Clustering. Submitted.

Version:	1.0.0
Depends:	R (≥ 3.5.0)
Imports:	stats, Thresher, fclust, mclust, mvtnorm, np, ggplot2, viridisLite
Suggests:	knitr, MASS, rmarkdown, patchwork, devtools, spelling
Published:	2025-10-08
DOI:	10.32614/CRAN.package.FuzzySpec
Author:	Jesse S. Ghashti [aut, cre], John R.J. Thompson [aut]
Maintainer:	Jesse S. Ghashti <jesse.ghashti at ubc.ca>
License:	GPL-2
NeedsCompilation:	no
Language:	en-US
Citation:	FuzzySpec citation info
Materials:	README
CRAN checks:	FuzzySpec results

Documentation:

Reference manual:	FuzzySpec.html , FuzzySpec.pdf
Vignettes:	Fuzzy Spectral Clustering with Variable-Weighted Adjacency Matrices (source, R code)

Downloads:

Package source:	FuzzySpec_1.0.0.tar.gz
Windows binaries:	r-devel: FuzzySpec_1.0.0.zip, r-release: FuzzySpec_1.0.0.zip, r-oldrel: FuzzySpec_1.0.0.zip
macOS binaries:	r-release (arm64): FuzzySpec_1.0.0.tgz, r-oldrel (arm64): FuzzySpec_1.0.0.tgz, r-release (x86_64): FuzzySpec_1.0.0.tgz, r-oldrel (x86_64): FuzzySpec_1.0.0.tgz

Linking:

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