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.
| ISBN: | 9783031487453 |
| Publication date: | 4th January 2025 |
| Author: | Frederic Ros, Rabia Riad |
| Publisher: | Springer an imprint of Springer Nature Switzerland |
| Format: | Paperback |
| Pagination: | 268 pages |
| Series: | Unsupervised and Semi-Supervised Learning |
| Genres: |
Communications engineering / telecommunications Expert systems / knowledge-based systems Pattern recognition Data mining Artificial intelligence |
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.
Feature and Dimensionality Reduction for Clustering With Deep Learning features in the following genres: Communications engineering / telecommunications, Expert systems / knowledge-based systems, Pattern recognition, Data mining, Artificial intelligence
Paperback. £98.99, down from the £109.99 cover price. Not Available.
Feature and Dimensionality Reduction for Clustering With Deep Learning was written by Frederic Ros, Rabia Riad and published by Springer an imprint of Springer Nature Switzerland
Feature and Dimensionality Reduction for Clustering With Deep Learning has 268 pages
Yes it is part of Unsupervised and Semi-Supervised Learning series
£98.99, reduced from £109.99. Not Available.