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IBclust  

Information Bottleneck Methods for Clustering Mixed-Type Data
View on CRAN: Click here


Download and install IBclust package within the R console
Install from CRAN:
install.packages("IBclust")

Install from Github:
library("remotes")
install_github("cran/IBclust")

Install by package version:
library("remotes")
install_version("IBclust", "1.5")



Attach the package and use:
library("IBclust")
Maintained by
Angelos Markos
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-07-10
Latest Update: 2025-07-10
Description:
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>.
How to cite:
Angelos Markos (2025). IBclust: Information Bottleneck Methods for Clustering Mixed-Type Data. R package version 1.5, https://cran.r-project.org/web/packages/IBclust. Accessed 30 Oct. 2026.
Previous versions and publish date:
1.2.1 (2025-09-19 13:20), 1.2 (2025-07-10 17:20), 1.3 (2026-05-11 08:50), 1.4 (2026-07-14 15:40), (2026-08-28 09:02)
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Complete documentation for IBclust
Functions, R codes and Examples using the IBclust R package
Full IBclust package functions and examples
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