Human-interpretable model explainability on high-dimensional data.

Damien de Mijolla Christopher Frye Markus Kunesch John Mansir Ilya Feige

Published in: CoRR (2020)

Keyphrases

high dimensional data
data sets
computer vision
high dimensional
probabilistic model
input data
data analysis
sparse representation
machine learning
decision trees
similarity measure
feature space
low dimensional
detection algorithm
subspace clustering