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... using Tukey’s test (p<0.05) and the principal component analysis (PCA). The wheat flour was...
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... utilizando tres métodos de reducción de datos: Feature Selection; PCA con 1, 100 y 1000 componentes...
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... measuring. Principal Component Analysis (PCA) was applied on the spectra derivatives in order to estimate...
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... occurrence and the food importance index (FII) were determined; a principal component analysis (PCA) and an...
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... Action (PCA) is an educational experience that brings school to households and other marginalized groups...
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... characterization was carried out using a Principal Component Analysis (PCA), Multiple Correspondence Analysis (MCA...
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... techniques used were: The wavelet analysis (AW), the principal components analysis (PCA), the Fourier...
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... using microsatellites. Data were analyzed by both Principal Component Analysis (PCA) and Multiple Factor...
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by León, Carlos, Murcia, Andrés
Published in ODEON (2012)
...’ relative systemic importance; (ii) these metrics allow the construction a PCA-based Systemic Importance...
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... Principal Components Analysis (PCA) was performed to assess the relationship between the evaluated variables...
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... quantitative variables, by descriptive statistics and, subsequently, multivariate statistics (PCA and clusters...
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