Principal components
A Single Classifier Using Principal Components Vs Multi-Classifier System: In Landuse-LandCover Classification of WorldView-2 Sensor Data
... principal components. The eigen val- ues computed for each of these components are shown in Table ...three components are chosen for further analysis based on the fact that these three contain ...
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Comparing covariance matrices: Random skewers method compared to the common principal components model
... common principal compo- nents analyzed was limited to seven, since for this data set few loadings beyond the fifth principal component are sig- nificantly different from ...7 principal ...
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Combining noise-adjusted principal components transform and median filter techniques for denoising modis temporal signatures
... RESUMO. Imagens multitemporais consistentes s˜ao necess´arias para uma acurada detecc¸˜ao de mudanc¸a e an´alise de assinaturas temporais. Imagens orbitais apresentam dificuldades para manter a precis˜ao das ...
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SPECTROPHOTOMETRIC DETERMINATION OF WPNI AND HMF IN UHT MILK THROUGH THE PRINCIPAL COMPONENTS ANALYSIS.
... SPECTROPHOTOMETRIC DETERMINATION OF WPNI AND HMF IN UHT MILK THROUGH THE PRINCIPAL COMPONENTS ANALYSIS. During heat treatment milk suffers changes among which whey proteins insolubility and Maillard ...
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Edge principal components and squash clustering: using the special structure of phylogenetic placement data for sample comparison.
... eigenvector components corresponding to the ‘‘new’’ edges will be typically greater than the magnitude of the eigenvector component corresponding to the ‘‘old’’ ...
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Morphological evaluation of common bean diversity in Bosnia and Herzegovina using the discriminant analysis of principal components (DAPC) multivariate method
... two principal components accounted for ...first principal component (PC1) accounted for ...second principal component (PC2) had high contributing factor loadings from the analyzed traits seed ...
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Mapping quantitative trait loci in Gallus gallus using principal components
... Concerning principal components, only QTL positions were described because both dominance and imprinting effects were not significant, while additive effects are associated with linear combinations, but no ...
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Artificial neural networks and multiple linear regression model using principal components to estimate rainfall over South America
... Abstract. Several studies have been devoted to dynamic and statistical downscaling for analysis of both climate variabil- ity and climate change. This paper introduces an application of artificial neural networks (ANNs) ...
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Correlations and Principal Components Analysis for Defining Management Zones in Cotton / Correlações e análise de componentes principais para definir zonas de gerenciamento em algodão
... In view of the above, this work had as objectives: to identify the soil chemical and physical properties and phenological plant attributes that have a higher correlation with yield; to [r] ...
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Lúcio Borges de Araújo
... Mode Principal Components Analysis to the three-way array containing the residuals of interaction for the SREG model with 10 attributes ...The components associated with the genotype mode explain ...
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José Augusto Gomes Azevêdo1 Fausto de Souza Sobrinho2 Flávio Rodrigo Gandolfi Benites2 Fernanda Samarini Machado2 Mariana Magalhães Campos2 Luiz Gustavo Ribeiro Pereira2
... probability. Principal components analyses and agglomerative hierarchical clustering (complete linkage) were conducted in Minitab 16 to evaluate the nutritional divergence between ...
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Principal semantic components of language and the measurement of meaning.
... map principal components are clearly identifiable: the first three correspond to the meanings of ‘‘good/bad’’ (valence), ‘‘calm/excited’’ (arousal), and ‘‘open/closed’’ (freedom), ...(unimodal) ...
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Rev. Bras. Eng. Bioméd. vol.30 número4
... of principal components, 10 and 25 (5×5), ...of principal components, the performance of the novelty classiier is better than the performance of the KNN ...
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Are drought occurrence and severity aggravating ? A study on SPI drought class transitions using log-linear models and ANOVA-like inference
... applied Principal Components Analysis (PCA) to a good number of rainfall stations in Por- tugal and found no significant trends for increased severity of droughts identified with the SPI computed with ...
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Análise de Componente Principal (ACP)
... the principal components based on the covariate ...main components, the model shows a satisfactory data adjust, and it could be used to estimate the green biomass of the main bamboo ...bamboo; ...
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Principal component analysis for fast and automated thermographic inspection of internal structures in sandwich parts
... sandwich components with infrared (IR) thermography can be automated using image classification ...how principal component analysis (PCA) via singular value de- composition (SVD) is applied to compress data ...
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MULTIVARIATE STATISTICAL ANALYSIS TO SUPPORT THE MINIMUM STREAMFLOW REGIONALIZATION
... of principal components and cluster analysis, in order to identify the most representative variables in studies of minimum streamflow regionalization, and to optimize the identification of the ...
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Psychometric properties of EURO-D, a geriatric depression scale: a cross-cultural validation study
... countries. Principal Components Analysis generated similar factor structures (affective suf- fering and motivation) in the current study as in the EURODEP studies [46], the SHARE surveys [32], and in ...
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THE IMPACT OF IFRS NORMS ON INTERNAL GOVERNANCE MECHANISMS WITH REGARD TO SOCIO-ECONOMIC CONTEXT
... a Principal Components Analysis of 34 items namely board of directors, audit committee, remuneration committe, ownership structure and transparency of published ...
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Evaluation of development traits of beef buffalo in Brazil using multivariate analysis
... REFERENCES - Mascioli, A.S., El Faro, L., Alencar, M.M., Fries, L.A., Barbosa, P.F. 2000. Genetic Phenotypic Parameters and Principal Components Analyses for Body Weight Gains in Canchim Cattle. Brazilian ...
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