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FACT  

Feature Attributions for ClusTering
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("FACT", "0.1.1")



Attach the package and use:
library("FACT")
Maintained by
Henri Funk
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-03-16
Latest Update: 2023-03-16
Description:
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) .
How to cite:
Henri Funk (2023). FACT: Feature Attributions for ClusTering. R package version 0.1.1, https://cran.r-project.org/web/packages/FACT. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2023-03-16 12:30)
Other packages that cited FACT R package
View FACT citation profile
Other R packages that FACT depends, imports, suggests or enhances
Complete documentation for FACT
Functions, R codes and Examples using the FACT R package
Full FACT package functions and examples
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