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Implement a technique to explain non-linear dimensionality reduction results

Open lazigu opened this issue 2 years ago • 0 comments

Potentially a way to explain non-linear dimensionality reduction (e.g., UMAP) results could be implemented, e.g., using ClusterShapley, which is based on SHAP - a game theoretic approach to explain the output of any machine learning model.

lazigu avatar Dec 13 '22 18:12 lazigu