Co-Clustering Package for Binary, Categorical, Contingency and Continuous Data-Sets
Overview
Simultaneous clustering of rows and columns, usually designated by biclustering, co-clustering or block clustering, is an important technique in two way data analysis. It consists of estimating a mixture model which takes into account the block clustering problem on both the individual and variables sets. The 'blockcluster' package provides a bridge between the C++ core library build on top of the 'STK++' library, and the R statistical computing environment. This package allows to co-cluster binary doi:10.1016/j.csda.2007.09.007, contingency doi:10.1080/03610920903140197, continuous doi:10.1007/s11634-013-0161-3 and categorical data-sets doi:10.1007/s11222-014-9472-2. It also provides utility functions to visualize the results. This package may be useful for various applications in fields of Data mining, Information retrieval, Biology, computer vision and many more. More information about the project and comprehensive tutorial can be found on the link mentioned in URL.
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- WARNING6 OK, 3 NOTE, 5 WARNING2026-03-10
Documentation
- Help pages
- 21
- Examples that run
- 100%12 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
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Code & Tests
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People & History
Previously maintained by Vincent KUBICKI (3.0.1 to 3.0.2) and Serge Iovleff (3.0).
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- RR 4.6.0 released · 2026-04-24
- archivedRemoved from CRAN2026-03-19issues were not corrected despite reminders
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
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- archivedRemoved from CRAN2024-02-08check problems were not corrected in time Blamed CRAN team for own errors, no apology
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- RR 4.3.0 released · 2023-04-21
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- archivedRemoved from CRAN2022-08-12issues were not corrected in time
- RR 4.2.0 released · 2022-04-22
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- unarchivedReturned to CRAN2021-07-13
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- RR 4.1.0 released · 2021-05-18
- archivedRemoved from CRAN2021-04-07check problems were not corrected in time Use of uninitialised memory detected by valgrind
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 4.4.32019-03-26 · diff ↗
- 4.3.2
- RR 3.5.0 released · 2018-04-23
- 4.2.62018-01-24 · diff ↗
- RR 3.4.0 released · 2017-04-21
- 4.2.32017-02-27 · diff ↗
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- 4.2.02016-11-29 · diff ↗
- RR 3.3.0 released · 2016-05-03
- 4.0.22015-11-27 · diff ↗ ·
removed 2 exports
cocluster, cocluststrategyadded 5 exports
coclusterBinary, coclusterCategorical, coclusterContingency, coclusterContinuous, coclusterStrategy - RR 3.2.0 released · 2015-04-16
- 3.0.22015-01-23 · diff ↗
- RR 3.1.0 released · 2014-04-10
- 3.0.12014-01-16 · diff ↗
- 3.02013-12-03 · diff ↗
- 2.0.22013-04-12 · diff ↗
- RR 3.0.0 released · 2013-04-03
- 2.0.12013-02-22 · diff ↗
- 2.02013-02-22 · diff ↗
- 1.012012-09-05 · diff ↗
- 1.02012-07-04
- RR 2.15.0 released · 2012-03-30
Package metadata
- First published
- 2012-07-04
- Total releases
- 21 / 14 yrs
- License
- GPL (>= 3) OSI
- Copyright
- Inria
- Minimum R
- ≥ 4.1.0
- Bundled data
- 483 KB / 5 files
- Download size
- 1.9 MB
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Run in R for the authors' entry:
citation("blockcluster")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.18637/jss.v076.i09.
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