Abstract: Principal component analysis (PCA) aims at estimating the direction of maximal variability of a high-dimensional data set. A natural question is: does this task become easier, and estimation ...

Abstract: In this paper a recursive algorithm of calculating the discriminant features of the PCA-LDA procedure is introduced. This algorithm computes the principal components of a sequence of vectors ...

Penman-Monteith; hyperparameter tuning; Genetic Algorithms (GAs); grid search; random search In Brazil, water crises have exposed the importance of water management in various sectors, particularly ...