Рет қаралды 7,025
Contents:
Motivation 1 - Data Compression,
Motivation 2 - Visualization,
Principal Component Analysis - Problem Formulation,
Principal Component Analysis Algorithm,
Choosing the number of Principal Components,
Reconstruction from Compressed Representation,
Advice for Applying PCA.