2018
Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds
NeurIPS 2018poster
In this paper, we investigate Dimensionality reduction (DR) maps in an information retrieval setting from a quantitative topology point of view. In particular, we show that no DR maps can achieve perfect precision and perfect recall simultaneously. Thus a continuous DR map must have imperfect precis…