Feature and Dimensionality Reduction for Clustering with Deep Learning

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 infl...

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Bibliographic Details

Main Authors:	Ros, Frederic (Author), Riad, Rabia (Author)
Corporate Author:	SpringerLink (Online service)
Format:	Electronic eBook
Language:	English
Published:	Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Edition:	1st ed. 2024.
Series:	Unsupervised and Semi-Supervised Learning,
Subjects:	Telecommunication. Computational intelligence. Data mining. Pattern recognition systems. Communications Engineering, Networks. Computational Intelligence. Data Mining and Knowledge Discovery. Automated Pattern Recognition.
Online Access:	https://doi.org/10.1007/978-3-031-48743-9
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