Principal component analysis
FORECASTING RETURNS FOR THE STOCK EXCHANGE OF THAILAND INDEX USING MULTIPLE REGRESSION BASED ON PRINCIPAL COMPONENT ANALYSIS
... of principal component analysis to remove possible complications caused by the multicollinearity of explanatory variables and the volatility ...
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Real time face recognition system using principal component analysis & database
... using Principal Component Analysis was motivated by information ...research. Principal component analysis, as a method was performed on the data, and a Matlab code of Matlab ...
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MULTI-VIEW FACE DETECTION BASED ON KERNEL PRINCIPAL COMPONENT ANALYSIS AND KERNEL SUPPORT VECTOR TECHNIQUES
... 3 helps the classifier to perform better. Fortunately, for certain feature spaces H there is a function for computing scalar products in feature spaces. This is known as a kernel function. By using a kernel function, ...
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Periodic classification: a didactic example to teach principal component analysis.
... PERIODIC CLASSIFICATION: A DIDACTIC EXAMPLE TO TEACH PRINCIPAL COMPONENT ANALYSIS. A dataset of chemical properties of the elements is used herein to introduce principal components ...
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Spatial and temporal variation of total electron content as revealed by principal component analysis
... sponding principal component analysis (PCA) are the stan- dard statistical techniques for analyzing atmospheric data since being introduced by ...
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FORECASTING THE FINANCIAL RETURNS FOR USING MULTIPLE REGRESSION BASED ON PRINCIPAL COMPONENT ANALYSIS
... used Principal Component Analysis (PCA) to remove possible complications caused by ...Forecasting, Principal Component Analysis, Multicollinearity ...
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Study of type A gasoline quality and its chemical composition using principal component analysis.
... USING PRINCIPAL COMPONENT ...Additionally, principal component analysis (PCA) was applied to discriminate the samples studied, which revealed the separation of four groups according to ...
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PROPOSAL OF A DIDACTIC EXPERIMENT TO TEACH PRINCIPAL COMPONENT ANALYSIS.
... TEACH PRINCIPAL COMPONENT ANALYSIS. Principal component analysis (PCA) is a chemometric method that allows for the extraction of chemical information that would otherwise be ...
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Application of principal component analysis in machine-part cell formation
... applies Principal Component Analysis (PCA) for grouping of machines and parts so that the part families could be processed in the cells formed by those associated ...the principal ...
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Principal component analysis for fast and automated thermographic inspection of internal structures in sandwich parts
... how principal component analysis (PCA) via singular value de- composition (SVD) is applied to compress data in an IR-video sequence in order to save processing time in the subsequent step of image ...
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Principal Component Analysis In Radar Polarimetry
... of principal component analysis (Jol- life, 2002) is how to find a suitable representation of mul- tivariate data in order to make the essential structure more visible and to identify any distinct ...
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Tribological Performance Optimization of Electroless Ni-P-W Coating Using Weighted Principal Component Analysis
... The principal component analysis PCA is a multivariate statistical method that selects a small number of components to account for the variance of original ...weighted principal components ...
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Principal component analysis of the cytokine and chemokine response to human traumatic brain injury.
... use principal component analysis and partial least squares discriminant analysis to demonstrate the pattern of production following TBI, distinct phases of the humoral inflammatory response ...
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An empirical comparison between grade of membership and principal component analysis
... between principal component analysis (PCA) and the typological GoM analysis in- troduced by Woodbury and Clive in ...GoM analysis is somehow a version of PCA under certain ...
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Facial Expression Classification Based on Multi Artificial Neural Network and Two Dimensional Principal Component Analysis
... Diagonal Principal Component Analysis (DiaPCA), which seeks the optimal projective vectors from diagonal face images and therefore the correlations between variations of rows and those of columns of ...
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CHARACTERIZATION OF SOIL CHEMICAL PROPERTIES OF STRAWBERRY FIELDS USING PRINCIPAL COMPONENT ANALYSIS
... using principal component analysis ...high. Principal component analysis allowed the clustering of all strawberry fields based on variables related to soil acidity and organic ...
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Pair Trading: Clustering Based on Principal Component Analysis
... the Principal Component Analysis combined with Hierarchical Clustering to group stocks with similar risk ...sensitivity analysis undertaken to different parameters, to understand, nowadays, ...
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Biometric variability of goat populations revealed by means of principal component analysis
... through principal component analysis (PCA), check the importance of body measures and their indices as a means of distinguishing among indi- viduals and ...three principal components were ...
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Soft Sensor Based on Dynamic Principal Component Analysis and Radial Basis Function Neural Network for Distillation Column
... Principal component analysis (PCA) is a reliable and simple statistical technique for handling high dimensional, noisy, and correlated measurement data by projecting the data onto a lower dimensional ...
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A new approach for heparin standardization: combination of scanning UV spectroscopy, nuclear magnetic resonance and principal component analysis.
... with principal component analysis (PCA), was developed to detect impurities, such as glycosaminoglycans, other complex polysaccharides and aromatic compounds, in heparin ...
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