株式会社極東書店トップ ＞ 商品一覧 ＞ Machine Learning and Clustering for a Sustainable Future: Applications in Engineering and Environmental Science.
商品詳細
Machine Learning and Clustering for a Sustainable Future: Applications in Engineering and Environmental Science.
・ISBN 978-3-032-03875-3 hard EUR 179.99
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| 著者・編者 | Raya-Tapia, Alma Yunuen / Lopez-Flores, Francisco Javier / Ramirez-Marquez, Cesar / Ponce-Ortega, Jose Maria, |
|---|---|
| シリーズ | (Studies in Computational Intelligence) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2025 |
| ページ数 | 351 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A04-88129＞ |
解説
This book explores cutting-edge machine learning and clustering techniques to tackle critical challenges in engineering, environmental science, and sustainability. The book provides an in-depth examination of clustering methodologies, covering unsupervised and supervised techniques, data preprocessing, distance metrics, and cluster validation methods such as the elbow and silhouette techniques.
Readers will find practical insights into applying these methods to real-world problems, including clustering greenhouse gas emissions, optimizing energy systems, and analyzing the energy-food nexus in the context of global crises. By integrating theoretical foundations with hands-on applications, this book serves as a valuable resource for researchers, engineers, and professionals seeking data-driven solutions for sustainability challenges.