statistical principal component analysis
Statistical Evaluation of Grain Yield in Millet Trials Using Principal Component Analysis
... two statistical procedures: analysis of variance (ANOVA) and principal component analysis ...of analysis of variance and PCA in the AMMI model together with forecast assessment ...
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Principal Component Image Interpretation - A Logical and Statistical Approach
... Principal component analysis is a lower order multivariate statistical data analysis algorithm used as a feature extraction process to reduce the dimensionality of the spectral band ...
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Water Quality Assessment Using Water Quality Indicators and Multivariate Analyses of the Old Brahmaputra River
... Multivariate statistical analyses such as Principal Component Analysis (PCA) and Correlation Matrix (CM) reveal significant anthropogenic intrusion of pollutants in water, while Cluster ...
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MULTIVARIATE STATISTICAL ANALYSIS OF GROUNDWATER CHEMISTRY DATA FROM HADEJIA LOCAL GOVERNMENT AREA OF JIGAWA STATE, NIGERIA
... multivariate statistical methods both the cluster and principal component analysis has been more effective that the use of either one of them ...
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Statistical Analysis of Bursa Nilufer Creek’s Water Quality Parameters for Period of 2002 2010
... the analysis belonging to the period between 2002-2010 which are taken from 15 points by General Directorate of Bursa Water and Sewerage Administration (BUWSA) were evaluated in relation to water quality of the ...
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Personalized neuromusculoskeletal modeling to improve treatment of mobility impairments: a perspective from European research sites
... using statistical dimensionality reduction methods (e.g., principal component analysis) and then applied to the healthy limb of a patient to predict the desired motion of the patient’s ...
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A Data Driven Statistical Approach for Monitoring and Analysis of Large Industrial Processes
... data-driven statistical model of a process is estimated using the principal component analysis (PCA) method and the associated probability density ...further statistical analysis ...
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... Principal Component Analysis (PCA) was first introduced by Pearson [13] in 1901 and later independently developed by Hotelling [14] in ...this analysis are the singular value decomposition ...
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Water Quality Assessment of a Tropical Mexican Lake Using Multivariate Statistical Techniques
... multivariate statistical tech- niques, cluster analysis (CA) and principal component analysis (PCA) at ten different monitoring sites for ten physicochemical variables and six ...
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Spatial Variability of Ground Water Quality Using HCA, PCA and MANOVA at Lawspet, Puducherry in India
... multivariate statistical techniques like Hierarchical Cluster Analysis (HCA), Principal Component Analysis (PCA), Factor Analysis (FA) and Multivariate Analysis of ...
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Fuel qualification using quartz sensors
... After statistical data analysis including Principal Component Analysis and Neural Network methods, it was possible to conclude that the sensor array is able to distinguish the fuel ...
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Multivariate Analysis of Soil Heavy Metals Pollution Along Irbid – Zarqa Highway
... selected statistical methods (Correlation analysis, Principal component analysis and Multivariate analysis) were used to determine the heavy metal accumulation and its ...
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Statistical Detection of Abnormal Ozone Levels Using Principal Component Analysis
... The goodness of the PCA model depends on a good choice of how many principal components (PCs) to retain. Underestimating the number of PCs can leave out important variations in the data which degrades the ...
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Visual Inference On Human Facial Expression On Homogeneous Distributed Systems
... Principal Component Analysis (PCA) is a statistical technique used for dimension reduction and recognition, & widely used for facial feature extraction and ...
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A Statistical Study of Water Quality of River Brahmani, Odisha (India) To Assess Its Potability
... multivariate statistical techniques including cluster analysis (CA), factor analysis (FA) and principal component analysis ...cluster analysis (AHC) grouped 15 sampling ...
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Financial Openness and Financial Development: An Analysis Using Indices
... our principal component index of financial openness provides more significant and economically profound results in comparison to the Chinn and Ito ...robustness, statistical significances and ...
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Prediction of Soil Salinity Using Multivariate Statistical Techniques and Remote Sensing Tools
... multivariate statistical analysis, such as principal component analysis (PCA) and cluster analysis to identify the most correlated spectral indices and rapidly predict salt ...
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A Survey on Performance Analysis through Dimensional Reduction and Classification Algorithm using KDD Cup and UNSW NB15 Dataset
... uses statistical techniques to give computer system the ability to "learn" with data, without being explicitly ...with principal component analysis (PCA) and without principal ...
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A SURVEY: PRINCIPAL COMPONENT ANALYSIS (PCA)
... Principal component analysis (PCA) is one of the most widely used multivariate techniques in ...a statistical procedure that uses an orthogonal transformation to convert a set of observations ...
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IMPROVED IMAGE DENOISING BASED ON AN HYBRID APPROACH OF WAVELET AND PCA'
... component score)In the history of mathematics, wavelet analysis shows many different origins. Much of the work was performed in the 1930s, Before 1930, the main branch of mathematics leading to wavelets ...
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