Neighborhood Components Analysis: Visualizing Metric Learning
This lab is aimed at demonstrating the use of Neighborhood Components Analysis (NCA) in learning a distance metric that maximizes the nearest neighbors classification accuracy. It provides a visual representation of this metric compared to the original point space.
Tags: labex, sklearn, coding, programming