Principal component factor analysis
Classification of Food Spices by Proximate Content: Principal Component, Cluster, Meta-Analyses
... (PCs) analysis (PCA) allows summarizing information contained in ...first factor F 1 explains 61% variance (39% error), first two factors F 1/2 , 93% ...
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Estimation of the underlying structure of systematic risk with the use of principal component analysis and factor analysis
... of Principal Component Analysis and Factor ...the Principal Component Analysis and the Maximum Likelihood Factor Analysis ...
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Molecular Categorization of Yams by Principal Component and Cluster Analyses
... objects. Principal components analysis (PCA) is a technique, extremely useful to summarize all the information contained in the X-matrix and put it in a form understandable by ...so-called principal ...
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Electronic tongue technology applied to the analysis of grapes and wines
... enzymes. Principal component analysis (PCA) and parallel factor analysis (PARAFAC) were used to discriminate samples of grapes with different sugar and polyphenolic contents and wines ...
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Principal component analysis applied to continuation power flow
... On the other hand, the variables P and Q are in phase because the load model considered constant power factor. Additionally, the data normalization process hides the specific weight of these variables when they ...
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Forescat modeling of spatio-temporal raster data using principal component analysis and a neural networks - wavelet decomposition model
... to specify the network using an arbitrary number of hidden neurons and later test the significance of each hidden neuron (Anders, 1997). A common rule of thumb is to set the number of hidden neurons equal to the median ...
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A Data driven Study of RR Lyrae Near IR Light Curves: Principal Component Analysis, Robust Fits, and Metallicity Estimates
... old component ( Dékány et al. 2013 ) . Due to the limiting factor of the diminished amplitudes, searches for new RRLs in the VVV fi elds have been generally limited to RRab ...
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Latest developments in data analysis tools for disruption prediction and for the exploration of multimachine operational spaces.
... data analysis tools to both predict the occurrence of disruptions and to investigate the operational spaces of devices, with the long term goal of advancing the understanding of the physics of these events and to ...
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A Gaussian mixture clustering model for characterizing football players using the EA Sports' FIFA video game system. [Modelo basado en agrupamiento de mixturas Gaussianas para caracterizar futbolistas utilizando el sistema de videojuegos FIFA de EA Sports].
... video analysis (Shu-Ching, Mei-Ling, & Na, 2005) and sophisticated notation systems (James, 2006) allow to register and store a huge amount of specific information about players’ actions during every match ...
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Fault Detection and Diagnosis in a Heat Exchanger Using Dynamic Principal Component Analysis and Diagnostic Observers-Edición Única
... 5.9 Diagnostic result for emulated faults in the actuators (cases [1 2]) 50 5.10 Diagnostic result for emulated faults in the actuators (cases [3 4]) 51 5.11 Fault detection result[r] ...
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The professional skills profile of a public affairs practitioner in Spain
... the factor analysis and, in particular, principal components ...the principal components analysis method could be ...use factor analysis, but in this case, we obtained a ...
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ANÁLISIS MORFOLÓGICO Y DE HÁBITAT EN EL HÍBRIDO Quercus glabrescens x Q. rugosa
... The abiotic factors that were considered were the following: superficial rock proportion (%), number of foggy days, hill exposure (degrees), slope (%), tree cover (per cent of all species) and edaphic variables that ...
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Analysis of multiple waveforms by means of functional principal component analysis: normal versus pathological patterns in sit to stand movement
... Functional PCA can be used as a first exploratory analysis useful to select discrete variables with clinical interest. For example, in our study only rPC2 and rPC3 reveal significant differences between controls ...
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Exploration of liquid chromatographic diode array data for Argentinean wines by extended multivariate curve resolution
... Liquid chromatography; Multivariate curve resolution; Principal component analysis; Direct injection; Wine data exploration.... Wine is a complex matrix composed of water, ethanol and a [r] ...
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Validation of the Spanish Language Version of the Learning and Performance Orientations in Physical Education Classes Questionnaire. (Validación de la versión Española del Cuestionario de Orientaciones al Aprendizaje y el Rendimiento en las clases de Educación Física).
... confirmatory factor analysis, that these items showed lower scores on their a priori ...confirmatory factor analysis showed moderated fit index values for the hierarchical (first and second ...
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Principal component analysis for automatic tag suggestion / Enrique Estellés Arolas, Fernando González Ladrón de Guevara and Antonio Falcó Montesinos
... and Principal Component Analysis (PCA) in order to extract all those terms that are more relevant in a web site marked in a social bookmarking ...
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Generative Models for Video Analysis and 3D Range Data Applications
... 2. Online Bayesian video summarization and linking. As an alternative to standard feature-based key-frames selection, in this chapter we propose a Bayesian framework for video summarization. We address the problem of ...
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Principal Component Analysis to study spatial variability of errors in the INSAT derived quantitative precipitation estimates over Indian monsoon region
... componente principal, que explica cerca del ...componente principal explica aproximadamente el ...componente principal, que explica el ...componente principal, que explica un ...
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Evidence for the role of the diabatic heating in synoptic scale processes: a case study example
... On the surface chart (Fig. 2a), an anticyclone centered over Central Europe extended over the west of Europe. A deep cyclone with a 980 mb center was located west of Iceland possessing a secondary low as a pivotal point ...
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SOUND AMBIENT ENVIRONMENT OF URBAN PLACES: COMPARISON OF SOUND APPRAISAL FACTORS WITH ACOUSTICAL PARAMETERS
... crossing analysis shows that the sound level suited to the description of boulevards, but for similar sound level situations (square, market, or schoolyard) two perceptive factors are needed: one spatial dimension ...
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