ListarDivisión de Geociencias Aplicadas por tema "K-means clustering"
Mostrando ítems 1-3 de 3
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Groundwater quality assessment: an improved approach to K-means clustering, principal component analysis and spatial analysis: a case study
(MDPI, 2018)"K-means clustering and principal component analysis (PCA) are widely used in water quality analysis and management. Nevertheless, numerous studies have pointed out that K-means with the squared Euclidean distance is not ... -
Identification of the Dominant Factors in Groundwater Recharge Process, Using Multivariate Statistical Approaches in a Semi-Arid Region
(MDPI, 2021)"Identifying contributing factors of potential recharge zones is essential for sustainable groundwater resources management in arid regions. In this study, a data matrix with 66 observations of climatic, hydrogeological, ... -
Identification of the hydrogeochemical processes and assessment of groundwater quality, using multivariate statistical approaches and water quality index in a wastewater irrigated region
(MDPI, 2019)"Groundwater quality and availability are essential for human consumption and social and economic activities in arid and semiarid regions. Many developing countries use wastewater for irrigation, which has in most cases ...