The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
We present 'FACT' (Feature Attributions for ClusTering), a framework for unsupervised interpretation methods that can be used with an arbitrary clustering algorithm. The package is capable of re-assigning instances to clusters (algorithm agnostic), preserves the integrity of the data and does not introduce additional models. 'FACT' is inspired by the principles of model-agnostic interpretation in supervised learning. Therefore, some of the methods presented are based on 'iml', a R Package for Interpretable Machine Learning by Christoph Molnar, Giuseppe Casalicchio, and Bernd Bischl (2018) <doi:10.21105/joss.00786>.
| Version: | 0.1.1 |
| Imports: | checkmate, data.table, ggplot2, gridExtra, R6, iml |
| Suggests: | testthat (≥ 3.0.0), caret, covr, knitr, mlr3, mlr3cluster, rmarkdown, FuzzyDBScan, factoextra, patchwork, spelling |
| Published: | 2024-03-25 |
| DOI: | 10.32614/CRAN.package.FACT |
| Author: | Henri Funk [aut, cre], Christian Scholbeck [aut, ctb], Giuseppe Casalicchio [aut, ctb] |
| Maintainer: | Henri Funk <Henri.Funk at stat.uni-muenchen.de> |
| BugReports: | https://github.com/henrifnk/FACT/issues |
| License: | LGPL-3 |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README NEWS |
| CRAN checks: | FACT results |
| Reference manual: | FACT.pdf |
| Package source: | FACT_0.1.1.tar.gz |
| Windows binaries: | r-devel: FACT_0.1.1.zip, r-release: FACT_0.1.1.zip, r-oldrel: FACT_0.1.1.zip |
| macOS binaries: | r-release (arm64): FACT_0.1.1.tgz, r-oldrel (arm64): FACT_0.1.1.tgz, r-release (x86_64): FACT_0.1.1.tgz, r-oldrel (x86_64): FACT_0.1.1.tgz |
| Old sources: | FACT archive |
Please use the canonical form https://CRAN.R-project.org/package=FACT to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.