DumbleDR: Predicting User Preferences of Dimensionality Reduction Projection Quality

no code implementations • 19 May 2021 • Cristina Morariu, Adrien Bibal, Rene Cutura, Benoît Frénay, Michael Sedlmair

A plethora of dimensionality reduction techniques have emerged over the past decades, leaving researchers and analysts with a wide variety of choices for reducing their data, all the more so given some techniques come with additional parametrization (e. g. t-SNE, UMAP, etc.).

Dimensionality Reduction