FeatureImpCluster

Implements a novel approach for measuring feature importance in k-means clustering. Importance of a feature is measured by the misclassification rate relative to the baseline cluster assignment due to a random permutation of feature values. An explanation of permutation feature importance in general can be found here: https://christophm.github.io/interpretable-ml-book/feature-importance.html.

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