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年10月08日
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

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