首页|Studies from Colegio de Postgraduados Have Provided New Data on Machine Learning [Leaf Morphometric Analysis of the Mexican Species of forest iera (Oleaceae) Using Machine Learning]
Studies from Colegio de Postgraduados Have Provided New Data on Machine Learning [Leaf Morphometric Analysis of the Mexican Species of forest iera (Oleaceae) Using Machine Learning]
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Current study results on Machine Learn ing have been published. According to news reporting originating from Texcoco, M exico, by NewsRx correspondents, research stated, "Forestiera includes woody pla nts distributed from the United States to Ecuador, with a wide distribution in M exico. However, basic knowledge about its biology and taxonomy is still limited. " Financial support for this research came from CONAHCYT. Our news editors obtained a quote from the research from Colegio de Postgraduado s, "In the present study, a leaf morphometric analysis of the 14 Mexican Foresti era species, including F. neomexicana, was carried out to determine if leaf char acters allow classifying the species and to evaluate if the inclusion of qualita tive features in statistical analyses improves the fit of used methods. Four qua ntitative and four qualitative variables from herbarium specimens, were evaluate d. A matrix was generated which was submitted to multivariate analysis, includin g Linear Discriminant Analysis and Random Forest. Results revealed that the spec ies are correctly classified, with Random Forest being the method with the best classifying capacity. The most important variables to differentiate the species are the shape of the base, width and margin of the leaves."
TexcocoMexicoNorth and Central Ameri caCyborgsEmerging TechnologiesMachine LearningColegio de Postgraduados
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