Feature and Dimensionality Reduction for Clustering with Deep Learning E-Book

Frederic Ros

• Herausgeber: Springer Nature Switzerland
• Kategorie: Wissenschaft und neue Technologien
• Serie: Unsupervised and Semi-Supervised Learning
• Sprache: Englisch

Veröffentlichungsjahr: 2023

Beschreibung

This book presents an overview of recent methods of feature selection and dimensionality reduction that are based on Deep Neural Networks (DNNs) for a clustering perspective, with particular attention to the knowledge discovery question. The authors first present a synthesis of the major recent influencing techniques and "tricks" participating in recent advances in deep clustering, as well as a recall of the main deep learning architectures. Secondly, the book highlights the most popular works by “family” to provide a more suitable starting point from which to develop a full understanding of the domain. Overall, the book proposes a comprehensive up-to-date review of deep feature selection and deep clustering methods with particular attention to the knowledge discovery question and under a multi-criteria analysis. The book can be very helpful for young researchers, non-experts, and R&D AI engineers.