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Application of k-means clustering, linear discriminant analysis and multivariate linear regression for the development of a predictive QSAR model on 5-lipoxygenase inhibitors
(Elsevier Science, 2015-04)
In this work, we performed a quantitative structure activity relationship (QSAR) model for a family of 5-lipoxygenase (5-LOX) inhibitors using k-means clustering and linear discriminant analysis (LDA) for the selection of ...
Plant species identification using multi-scale fractal dimension applied to images of adaxial surface epidermis
(2009-09-28)
This paper presents the study of computational methods applied to histological texture analysis in order to identify plant species, a very difficult task due to the great similarity among some species and presence of ...
Plant species identification using multi-scale fractal dimension applied to images of adaxial surface epidermis
(2009-09-28)
This paper presents the study of computational methods applied to histological texture analysis in order to identify plant species, a very difficult task due to the great similarity among some species and presence of ...
Combining Multivariate Analysis and Pollen Count to Classify Honey Samples Accordingly to Different Botanical Origins
(Instituto de Investigaciones Agropecuarias, INIA, 2008)
Measuring and analyzing color and texture information in anatomical leaf cross sections: An approach using computer vision to aid plant species identification
(2011-07-01)
Currently, studies on leaf anatomy have provided an important source of characters helping taxonomic, systematic, and phylogenetic studies. These studies strongly rely on measurements of characters (such as tissue thickness) ...
Measuring and analyzing color and texture information in anatomical leaf cross sections: An approach using computer vision to aid plant species identification
(2011-07-01)
Currently, studies on leaf anatomy have provided an important source of characters helping taxonomic, systematic, and phylogenetic studies. These studies strongly rely on measurements of characters (such as tissue thickness) ...
Bayesian non-linear regression models with skew-elliptical errors: Applications to the classification of longitudinal profiles
(ELSEVIER, 2008)
Typically, the fundamental assumption in non-linear regression models is the normality of the errors. Even though this model offers great flexibility for modeling these effects, it suffers from the same lack of robustness ...