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商品詳細
Feature and Dimensionality Reduction for Clustering with Deep Learning.
・ISBN 978-3-031-48745-3 paper EUR 119.99
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| 著者・編者 | Ros, Frederic / Riad, Rabia, |
|---|---|
| シリーズ | (Unsupervised and Semi-Supervised Learning) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2025 |
| ページ数 | 268 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A03-94458＞ |
解説
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.