Interpretable Dimensionality Reduction by Feature Preserving Manifold Approximation and Projection

Yang Yang, Hongjian Sun, Jialei Gong +1

Nonlinear dimensionality reduction lacks interpretability due to the absence of source features in low-dimensional embedding space. We propose an interpretable method featMAP to pr…