IBclust
1.4Information Bottleneck Methods for Clustering Mixed-Type Data
Overview
Implements multiple variants of the Information Bottleneck ('IB') method for clustering datasets containing continuous, categorical (nominal/ordinal) and mixed-type variables. The package provides deterministic, agglomerative, generalised, sequential, and standard IB clustering algorithms that preserve relevant information while forming interpretable clusters. The Deterministic Information Bottleneck is described in Costa et al. (2026) doi:10.1016/j.patcog.2026.113580. 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, the generalised IB from Strouse and Schwab (2017) doi:10.1162/NECO_a_00961, and the sequential IB from Slonim et al. (2002) doi:10.1145/564376.564401.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-04-2214 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
- ERROR2026-04-1813 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 43%
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Code & Tests
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Package metadata
- First published
- 2025-07-10
- Total releases
- 4 / 1 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 3.5.0
- Download size
- 143 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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