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Dimensionality Reduction: Principal Component Analysis and Multidimensional Scaling - Lecture 21

UofU Data Science via YouTube

Overview

Learn about key dimensionality reduction techniques in this university lecture focusing on Principal Component Analysis (PCA) and Multidimensional Scaling (MDS), exploring how these methods help simplify complex high-dimensional data while preserving essential patterns and relationships between variables.

Syllabus

FoDA F22 Lecture 21

Taught by

UofU Data Science

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