A novel fuzzy clustering approach to regionalise watersheds with an automatic determination of optimal number of clusters

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Open Access

|Nov 2017

Authors

Civil Engineering Department, UCAM Universidad Católica San Antonio de Murcia (UCAM), Campus de los Jerónimos, nº 135, 30107, Murcia, Spain

Civil Engineering Department, UCAM Universidad Católica San Antonio de Murcia (UCAM), Campus de los Jerónimos, nº 135, 30107, Murcia, Spain

Civil Engineering Department, UCAM Universidad Católica San Antonio de Murcia (UCAM), Campus de los Jerónimos, nº 135, 30107, Murcia, Spain

Civil Engineering Department, UCAM Universidad Católica San Antonio de Murcia (UCAM), Campus de los Jerónimos, nº 135, 30107, Murcia, Spain

DOI: https://doi.org/10.1515/johh-2017-0024 | Journal eISSN: 1338-4333 | Journal ISSN: 0042-790X

Language: English

Page range: 359 - 365

Submitted on: Jul 13, 2016

Accepted on: Dec 2, 2016

Published on: Nov 7, 2017

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

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© 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.