Classification of Food Spices by Proximate Content: Principal Component, Cluster, Meta-Analyses

Another possible representation of a functional data sample is by expressing them as linear com- binations of basis functions, and it is called the basis representation.

Cluster analysis Factor analysis Heckit model (Probit) Heckit model (OLS) Ln (Number of introduced species known) Cluster analysis. Factor analysis EXOTIC_KNOWN Ordinal Square

Loading plot of the principal component analysis of the phenolic composition contents in grape skins and seeds at harvest (flavanols: FA; flavonols: FO; phenolic acids: Phe Ac

To do so, we applied Principal Component Analysis (PCA) and Ward’s hierarchical clustering to identify zones of fire regime on the basis of the spatial and temporal arrangement

The second is based on dimension reduction by using functional principal component analysis of the sample curves (FPCA) and testing multivariate homogeneity on a vector of

To achieve a transformation from the original space to a feature space useful for classification, oriented principal component analysis (OPCA) is presented as the solution of

A SSD group obtained without using any a priori definition, by means of cluster analysis of delirium symptoms measured by the DRS-R98 in 859 international

Figure 1 shows the principal component analysis (PCA) of the whole transcriptome of brain cortex (Panel A), skeletal muscle (Panel B) and heart (Panel C) of old mice,