Computing & Internet      Databases

Feature and Dimensionality Reduction for Clustering with Deep Learning (Unsupervised and Semi-Supervised Learning)

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Book Details
Language
English
Publishers
Springer; 1st ed. 2024 edition (3 Jan. 2024)
Weight
0.57 KG
Publication Date
03/01/2024
ISBN-10
3031487427
Pages
279 pages
ISBN-13
9783031487422
Dimensions
15.6 x 1.75 x 23.39 cm
SKU
9783031487422
Author Name
Frederic Ros (Author)
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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. .

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