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Published by Springer Nature Switzerland, 2024
ISBN 10: 3031487427 ISBN 13: 9783031487422
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Published by Springer Nature Switzerland, Springer International Publishing, 2025
ISBN 10: 3031487451 ISBN 13: 9783031487453
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Published by Springer Nature Switzerland, 2024
ISBN 10: 3031487427 ISBN 13: 9783031487422
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
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Published by Springer Nature Switzerland, Springer International Publishing Jan 2025, 2025
ISBN 10: 3031487451 ISBN 13: 9783031487453
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Published by Springer Verlag GmbH, 2025
ISBN 10: 3031487451 ISBN 13: 9783031487453
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