FACT

Feature Attributions for ClusTering

CRAN Package

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) .

  • Version0.1.1
  • R versionunknown
  • LicenseLGPL-3
  • Needs compilation?No
  • Languageen-US
  • Last release03/25/2024

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  • Imports6 packages
  • Suggests11 packages