Name: Machine Learning and Clustering for a Sustainable Future. Applications in Engineering and Environmental Science
Price: 2978.79 MXN
Availability: InStock
Author: Alma Yunuen Raya-Tapia;Jose Maria Ponce-Ortega;Francisco Javier Lopez-Flores;Cesar Ramirez-Marquez
ISBN: 9783032038753

portada Machine Learning and Clustering for a Sustainable Future. Applications in Engineering and Environmental Science

Machine Learning and Clustering for a Sustainable Future. Applications in Engineering and Environmental Science

Formato

Libro Físico

Editorial

Springer Nature Switzerland AG

Autor

Alma Yunuen Raya-Tapia;Jose Maria Ponce-Ortega;Francisco Javier Lopez-Flores;Cesar Ramirez-Marquez

Colección

Studies in Computational Intelligence

Año

2025

N° páginas

351

Encuadernación

Tapa Dura

Dimensiones

23.50 x 15.50 cm

ISBN13

9783032038753

Machine Learning and Clustering for a Sustainable Future. Applications in Engineering and Environmental Science

Alma Yunuen Raya-Tapia;Jose Maria Ponce-Ortega;Francisco Javier Lopez-Flores;Cesar Ramirez-Marquez (Autor) · Springer Nature Switzerland AG · Tapa Dura

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Reseña del libro "Machine Learning and Clustering for a Sustainable Future. Applications in Engineering and Environmental Science"

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.