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	Provedor de dados 1 (2) 77 (1) Autor Carneiro, Vinícius Quintão (2) Cruz, Cosme Damião (2) Santos, Iara Gonçalves dos (2) Silva Junior, Antônio Carlos da (2) Soares, Plínio César (2) Araya-Díaz,Pamela (1) Palomino,Hernán M (1) Ruz,Gonzalo A (1) Mais... Palavra-chave Clustering technique (3) Computational intelligence (2) Oriza sativa L. (2) Craniofacial patterns (1) Genética melhoramento de plantas (1) Morphological patterns (1) Orthodontics (1) SOM. (1) SOM. Genética melhoramento de plantas (1) Mais... Tipo do documento Info:eu-repo/semantics/article (2) Journal article (1) Ano 2018 (2) 2013 (1) País Brazil (2) Chile (1) Idioma Inglês (3)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 3 Primeira ... 1 ... Última Self-organizing maps in the study of genetic diversity among irrigated rice genotypes 1 Santos, Iara Gonçalves dos; Carneiro, Vinícius Quintão; Silva Junior, Antônio Carlos da; Cruz, Cosme Damião; Soares, Plínio César. This study presents self-organizing maps (SOM) as an alternative method to evaluate genetic diversity in plant breeding programs. Twenty-five genotypes were evaluated in two environments for 11 phenotypic traits. The genotypes were clustered according to the SOM technique, with variable topology and numbers of neurons. In addition to the SOM analysis, unweighted pair group method with arithmetic mean clustering (UPGMA) was performed to observe the behavior of the clustering when submitted to these techniques and to evaluate their complementarities. Genotype ordering according to SOM was consistent with UPGMA results, evidenced by the basic structure of UPGMA groups being preserved in each group of the maps. Regarding genotype arrangement and the group... Tipo: Info:eu-repo/semantics/article Palavras-chave: Oriza sativa L.; Computational intelligence; Clustering technique; SOM. Genética melhoramento de plantas. Ano: 2018 URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/39803 Self-organizing maps in the study of genetic diversity among irrigated rice genotypes 1 Santos, Iara Gonçalves dos; Carneiro, Vinícius Quintão; Silva Junior, Antônio Carlos da; Cruz, Cosme Damião; Soares, Plínio César. This study presents self-organizing maps (SOM) as an alternative method to evaluate genetic diversity in plant breeding programs. Twenty-five genotypes were evaluated in two environments for 11 phenotypic traits. The genotypes were clustered according to the SOM technique, with variable topology and numbers of neurons. In addition to the SOM analysis, unweighted pair group method with arithmetic mean clustering (UPGMA) was performed to observe the behavior of the clustering when submitted to these techniques and to evaluate their complementarities. Genotype ordering according to SOM was consistent with UPGMA results, evidenced by the basic structure of UPGMA groups being preserved in each group of the maps. Regarding genotype arrangement and the group... Tipo: Info:eu-repo/semantics/article Palavras-chave: Oriza sativa L.; Computational intelligence; Clustering technique; SOM.; Genética melhoramento de plantas. Ano: 2018 URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/39803 Discovering Craniofacial Patterns Using Multivariate Cephalometric Data for Treatment Decision Making in Orthodontics 77 Araya-Díaz,Pamela; Ruz,Gonzalo A; Palomino,Hernán M. The aim was to find craniofacial morphology patterns in a multivariate cephalometric database using a clustering technique. Cephalometric analysis was performed in a sample of 100 teleradiographs collected from Chilean orthodontic patients. Thirty cephalometric measurements were taken from commonly used analysis. The computed variables were used to perform a clustering analysis with the k-means algorithm to identify patterns of craniofacial morphology. The J48 decision tree was used to analyze each cluster, and the ANOVA test to determine the statistical differences between the clusters. Four clusters were found that had significant differences (P<0.001) in 24 of the 30 variables studied, suggesting that they represent different patterns of craniofacial... Tipo: Journal article Palavras-chave: Craniofacial patterns; Morphological patterns; Clustering technique; Orthodontics. Ano: 2013 URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-95022013000300053 Registros recuperados: 3 Primeira ... 1 ... Última

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