01680nam 22004213 450 991103163790332120250904081900.03-032-03876-6(MiAaPQ)EBC32276263(Au-PeEL)EBL32276263(CKB)40861148100041(EXLCZ)994086114810004120250904d2025 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierMachine Learning and Clustering for a Sustainable Future Applications in Engineering and Environmental Science1st ed.Cham :Springer,2025.©2025.1 online resource (392 pages)Studies in Computational Intelligence Series ;v.12333-032-03875-8 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.Studies in Computational Intelligence SeriesRaya-Tapia Alma Yunuen1851465López-Flores Francisco Javier1851466Ramírez-Márquez César1738153Ponce-Ortega José María1228143MiAaPQMiAaPQMiAaPQBOOK9911031637903321Machine Learning and Clustering for a Sustainable Future4445268UNINA