Ros F Feature and Dimensionality Reduction for Clustering Deep Learning 2024
General:
Name: Ros F Feature and Dimensionality Reduction for Clustering Deep Learning 2024
Format: pdf
Size: 3.63 MB
Book:
Title: Feature and Dimensionality Reduction for Clustering with Deep Learning
Author: Frederic Ros, Rabia Riad
Language: polski
Year: 2023
Subjects: Science & Technology, Engineering, Technology, Telecommunications, Telecommunications Technology, Telecommunication
Publisher: Springer-Verlag New York, LLC
ISBN: 9783031487439
Total pages: 273
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.
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