Feature and Dimensionality Reduction for Clustering with Deep Learning
€ 145,90
Informação do Produto
| ISBN | 9783031487422 |
|---|---|
| Autores | Frederic Ros, Rabia Riad |
| Editora | Springer International Publishing AG |
| Formato | Capa dura |
| Número de páginas | 268 |
| Data de Publicação | 03/01/2024 |
| Preço (iva excl.) | € 137,64 |
| Imposto | € 8,26 |
| Preço (iva inc.) | € 145,90 |
| Disponibilidade | 1 unidade em armazém externo |
Descrição do Produto
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.