Unsupervised and Semi-Supervised Learning

Ros, Frederic; Riad, Rabia

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.

Details

Published by: Springer

Publication Date: 2024-01-03

Format: Hardcover

ISBN-13: 9783031487422

DOI: 10.1007/978-3-031-48743-9

Dimensions: 235cm x155cm

Pages: 268