Für statistische Zwecke und um bestmögliche Funktionalität zu bieten, speichert diese Website Cookies auf Ihrem Gerät. Das Speichern von Cookies kann in den Browser-Einstellungen deaktiviert werden. Wenn Sie die Website weiter nutzen, stimmen Sie der Verwendung von Cookies zu.
Cookie akzeptierenBenyamin Ghojogh / Ali Ghodsi / Fakhri Karray / Mark Crowley
Elements of Dimensionality Reduction and Manifold Learning
- Springer International Publishing
- 2023
- Gebunden
- 636 Seiten
- ISBN 9783031106019
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 neural network-based dimensionality reduction, which have geometric, probabilistic, and information-theoretic points of view to dimensionality reduction, respectively. The necessary background and preliminaries on linear algebra, optimization, and kernels are also explained to ensure a comprehensive understanding of the algorithms. The tools introduced in this book can be
Mehr
Weniger
zzgl. Versand
in Kürze