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Machine Learning and Clustering for a Sustainable Future

By Raya-Tapia, Alma Yunuen

Machine Learning and Clustering for a Sustainable Future Computer Science

Machine Learning and Clustering for a Sustainable Future

0 - Default Title
Description
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.
Product details
Number of Pages:
368
Release Date:
2025-09-01
Publication Date:
2025-09-01
Publisher:
Springer
Languages:
Original: English
ISBN10:
3032038758
ISBN13:
9783032038753
GPSR Manufacturer Reference:
[email protected]
Weight:
715 g
Height:
160 cm
Width:
241 cm
Thickness:
26 cm
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