ListarDivisión de Geociencias Aplicadas por tema "PCA"
Mostrando ítems 1-2 de 2
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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, ...