Elements of Dimensionality Reduction and Manifold Learning

by Mark Crowley, Benyamin Ghojogh, Fakhri Karray

Dimensionality reduction, also known as manifold learning, is an area of machine learning used for extracting informative features from data for better representation of data or separation between classes. This book presents a cohesive review of linear and nonlinear dimensionality reduction and manifold learning. Three main aspects of dimensionality reduction are covered: spectral dimensionality reduction, probabilistic dimensionality reduction, and...

• Format: Hardcover
• Language: English
• ISBN: 3031106016
• ISBN13: 9783031106019
• Release Date: February 2023
• Publisher: Springer
• Length: 606 Pages
• Weight: 2.34 lbs.
• Dimensions: 1.4" x 6.1" x 9.2"