IBclust: Information Bottleneck Methods for Clustering Mixed-Type Data

Implements multiple variants of the Information Bottleneck ('IB') method for clustering datasets containing mixed-type variables (nominal, ordinal, and continuous). The package provides deterministic, agglomerative, generalized, and standard 'IB' clustering algorithms that preserve relevant information while forming interpretable clusters. The Deterministic Information Bottleneck is described in Costa et al. (2024) <doi:10.48550/arXiv.2407.03389>. The standard 'IB' method originates from Tishby et al. (2000) <doi:10.48550/arXiv.physics/0004057>, the agglomerative variant from Slonim and Tishby (1999) <https://papers.nips.cc/paper/1651-agglomerative-information-bottleneck>, and the generalized 'IB' for Gaussian variables from Chechik et al. (2005) <https://www.jmlr.org/papers/volume6/chechik05a/chechik05a.pdf>.

Version:	1.2
Depends:	R (≥ 3.5.0)
Imports:	Rcpp, stats, utils, np, rje, Rdpack, RcppEigen
LinkingTo:	Rcpp, RcppArmadillo, RcppEigen
Published:	2025-07-10
DOI:	10.32614/CRAN.package.IBclust
Author:	Efthymios Costa [aut], Ioanna Papatsouma [aut], Angelos Markos [aut, cre]
Maintainer:	Angelos Markos <amarkos at gmail.com>
License:	MIT + file LICENSE
NeedsCompilation:	yes
Citation:	IBclust citation info
Materials:	README
CRAN checks:	IBclust results

Documentation:

Reference manual:

IBclust.pdf

Downloads:

Package source:	IBclust_1.2.tar.gz
Windows binaries:	r-devel: not available, r-release: IBclust_1.2.zip, r-oldrel: not available
macOS binaries:	r-release (arm64): IBclust_1.2.tgz, r-oldrel (arm64): IBclust_1.2.tgz, r-release (x86_64): IBclust_1.2.tgz, r-oldrel (x86_64): IBclust_1.2.tgz

Linking:

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