Learn about dimension reduction techniques in this 40-minute lecture that explores Euclidean distance as a starting point before delving into projections and random projections. Understand how these methods can be applied to reduce the dimensionality of data while preserving important properties.
Overview
Syllabus
Data Mining Lecture L16 - Random Projections
Taught by
UofU Data Science