A novel fuzzy clustering approach to regionalise watersheds with an automatic determination of optimal number of clusters
Authors
Javier Senent-Aparicio
Civil Engineering Department, UCAM Universidad Católica San Antonio de Murcia (UCAM), Campus de los Jerónimos, nº 135, 30107, Murcia, Spain
Jesús Soto
Civil Engineering Department, UCAM Universidad Católica San Antonio de Murcia (UCAM), Campus de los Jerónimos, nº 135, 30107, Murcia, Spain
Julio Pérez-Sánchez
Civil Engineering Department, UCAM Universidad Católica San Antonio de Murcia (UCAM), Campus de los Jerónimos, nº 135, 30107, Murcia, Spain
Jorge Garrido
Civil Engineering Department, UCAM Universidad Católica San Antonio de Murcia (UCAM), Campus de los Jerónimos, nº 135, 30107, Murcia, Spain
Language: English
Page range: 359 - 365
Submitted on: Jul 13, 2016
Accepted on: Dec 2, 2016
Published on: Nov 7, 2017
Published by: Slovak Academy of Sciences, Institute of Hydrology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Related subjects:
© 2017 Javier Senent-Aparicio, Jesús Soto, Julio Pérez-Sánchez, Jorge Garrido, published by Slovak Academy of Sciences, Institute of Hydrology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.