Principal component analysis (ICA)
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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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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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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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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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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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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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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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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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
... corresponding principal component analysis (PCA) tech- ...spectral analysis of the time series of the EOF coefficients re- veals how different mechanisms such as solar flux variation, change ...
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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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Applications of Image Filtration Based on Principal Component Analysis and Nonlocal Image Processing
... Abstract — Number of works covers a topic of denoising of digital images affected by an additive white Gaussian noise (AWGN), which are formed by typical devices that contain of lenses and semiconducting sensors which ...
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Pair Trading: Clustering Based on Principal Component Analysis
... The development of statistics and technology brought about more complex and computationally heavier methods, to be applied to statistical arbitrage and pair trading. One of the most important statistical tools is the ...
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Real time face recognition system using principal component analysis & database
... Abstract- Face Recognition is the process of identification of a person by their facial image. In this system, a holistic Principal Component Analysis (PCA) based method, namely Eigenface method is ...
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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.
... Statistical analysis was performed using multivariate techniques, specifically principal component analysis (PCA), followed by partial least squares discriminant analysis (PLS – ...
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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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MULTI-VIEW FACE DETECTION BASED ON KERNEL PRINCIPAL COMPONENT ANALYSIS AND KERNEL SUPPORT VECTOR TECHNIQUES
... Detecting faces across multiple views is more challenging than in a frontal view. To address this problem, an efficient approach is presented in this paper using a kernel machine based approach for learning such ...
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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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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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