Feature and Dimensionality Reduction for Clustering with Deep Learning Hardback
by Frederic Ros, Rabia Riad
Part of the Unsupervised and Semi-Supervised Learning series
Hardback
- Information
Description
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.
Information
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Out of StockMore expected soonContact us for further information
- Format:Hardback
- Pages:268 pages, 1 Illustrations, black and white; XI, 268 p. 1 illus.
- Publisher:Springer International Publishing AG
- Publication Date:03/01/2024
- Category:
- ISBN:9783031487422
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Information
-
Out of StockMore expected soonContact us for further information
- Format:Hardback
- Pages:268 pages, 1 Illustrations, black and white; XI, 268 p. 1 illus.
- Publisher:Springer International Publishing AG
- Publication Date:03/01/2024
- Category:
- ISBN:9783031487422
