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Anglický jazyk
Feature and Dimensionality Reduction for Clustering with Deep Learning
Autor: Rabia Riad
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... Viac o knihe
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O knihe
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.
- Presents a synthesis of recent influencing techniques and "tricks" participating in advances in deep clustering;
- Highlights works by "family" to provide a more suitable starting point to develop a full understanding of the domain;
- Includes recent methods of feature selection and dimensionality reduction that are based on Deep Neural Networks.
- Vydavateľstvo: Springer Nature Switzerland
- Rok vydania: 2025
- Formát: Paperback
- Rozmer: 235 x 155 mm
- Jazyk: Anglický jazyk
- ISBN: 9783031487453
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