Gram-Schmidt Methods for Unsupervised Feature Extraction and Selection

Bahram Yaghooti, Netanel Raviv, Bruno Sinopoli

Feature extraction and selection in the presence of nonlinear dependencies among the data is a fundamental challenge in unsupervised learning. We propose using a Gram-Schmidt (GS)…