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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.
Produkteigenschaften
- Artikelnummer: 9783031487422
- Medium: Buch
- ISBN: 978-3-031-48742-2
- Verlag: Springer Nature Switzerland
- Erscheinungstermin: 03.01.2024
- Sprache(n): Englisch
- Auflage: 1. Auflage 2024
- Serie: Unsupervised and Semi-Supervised Learning
- Produktform: Gebunden
- Gewicht: 588 g
- Seiten: 268
- Format (B x H x T): 160 x 241 x 21 mm
- Ausgabetyp: Kein, Unbekannt