ListarInvestigación y Desarrollo por tema "KNN algorithm"
Mostrando ítems 1-3 de 3
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Article
A K-Nearest Neighbors Algorithm in Python for Visualizing the 3D Stratigraphic Architecture of the Llobregat River Delta in NE Spain (2024)
(MDPI, 2022)The k-nearest neighbors (KNN) algorithm is a non-parametric supervised machine learning classifier; which uses proximity and similarity to make classifications or predictions about the grouping of an individual data point. ... -
Article
Confidence of a k-Nearest Neighbors Python Algorithm for the 3D Visualization of Sedimentary Porous Media (2023)
(MDPI, 2023-01)In a previous paper, the authors implemented a machine learning k-nearest neighbors (KNN) algorithm and Python libraries to create two 3D interactive models of the stratigraphic architecture of the Quaternary onshore ... -
Article
Using python libraries and k-Nearest neighbors algorithms to delineate syn-sedimentary faults in sedimentary porous media (2024)
(Elsevier Ltd, 2023)This paper introduces a methodology based on Python libraries and machine learning k-Nearest Neighbors (KNN) algorithms to create an interactive 3D HTML model (3D_Vertical_Sections_Faults_LRD.html) that combines 2D grain-size ...