method of principal components
Global Criterion Method Based on Principal Components to the Optimization of Manufacturing Processes with Multiple Responses
... Criterion Method is described in literature as a technique indicated for multi-objective ...the Principal Component Analysis is a multivariate tool that can be used to represent correlated responses by ...
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A principal components based clustering method to identify multiple variants associated with rheumatoid arthritis and arthritis related autoantibodies
... a principal-components analysis (PCA) with an orthoblique rotation to identify specific subsets of single-nucleotide polymorphisms (SNP) in the major histocompatibility complex (MHC) region associated with ...
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Study of transportation-and-storage system using the method of principal components
... Експертним шляхом були виділені 14 параметрів, які, зазвичай, використовуються для моделювання якісних показників в транспортних процесах: – загальна кількість вагонів, що надходять на к[r] ...
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Principal Components Analysis a method Useful in Identification of Clusters of Variables
... The correlations between the variables were checked before conducting a principal components analysis with the concept that: 1. the high correlations (above .9) indicate two variables seem to be measuring ...
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Analysis of principal components of pollution in Baiyangdian
... the method of Principal Components Analysis based on factor analysis ， the water quality parameters of Baiyangdian are summarized into five principal components, namely the index of ...
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A Near-Optimal Algorithm for Differentially-Private Principal Components
... There are many general tools for providing differential privacy. The sensitivity method due to Dwork et al. (2006b) computes the desired algorithm (in our case, PCA) on the data and then adds noise proportional to ...
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The ‘not-so-strange’ body in the mirror: A principal components analysis of direct and mirror self-observation : A principal components analysis of direct and mirror self-observation
... 3.3. Secondary PCAs on Body Evaluations (and Alienation). Because the body evaluations (and alienation) component of the above PCAs accounted for a large proportion of variance in each condition, we performed a follow-up ...
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COPD phenotype description using principal components analysis
... regression method. To validate the components, a MANOVA (multivariate analysis of variance) was run with the PCA scores as outcome variables and the demographic details (age, gender, smoking status, smoking ...
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Principal Components Analysis of Acacia burkei and A. nigrescens in Natal
... described principal components analysis in detail and one introduction to the subject, in a taxonomic setting, is given by Jeffers ...the method is described in ...of components from the ...
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Application of Principal Components Analysis Results in Visual Network Analysis
... are method of extremal grouping of features and method of correlational galaxies ...group. Method of correlation galaxies, as well as the method of extremal grouping is designed to identify ...
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1-s2.0-S0167947317300026-main.pdf
... PCAS method has several advantages. First, PCAS retains top principal components as surrogate covariates, thus retains the information in those predictors that are not included in the marginal ...
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Permutation validated principal components analysis of microarray data
... Although these methods allow the detection of patterns or characteristic nodes by dimension reduction and the selec- tion of gene subsets with large variation between condition groups, the reliability of the results ...
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Linkage and association analyses of principal components in expression data
... For the strongest linkage signals, we downloaded data from the HapMap project for the CEPH families for SNPs within the two-LOD support [10]. We performed associa- tion analyses using an additive model to code the SNP ...
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Identification of gene gene interaction using principal components
... We extended two approaches previously used for gene-level tests or gene-environment interaction analysis to screen for gene-gene interactions in 17 candidate genes for RA using the GAW16 NARAC data. In the PC approach we ...
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Dynamic Integration of Classifiers in the Space of Principal Components
... data-mining method or a group of the most appropriate methods is usually not ...the method selection is done statically for all new instances of the domain area without analyzing each particular new ...the ...
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Principal Components and Factor Analysis A Comparative Study
... Principal Component Analysis (PCA) is a widely used method for dimension reduction of large databases in the presence of collinearity. It dates back to the works of Pearson (1901) and has been extensively ...
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Direct Estimation of Genetic Principal Components
... estimation method is used, bias is much re- genetic variance-covariance structure, a topic of emerg- ...estimation method is between cal tools have been developed to compare covariance three and nine times ...
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An Empirical Study Based on Supply Chain Supplier Evaluation System
... the principal component analysis method is applied in supplier evaluation index, by extracting the principal components of the multi index comprehensive evaluation, and quantita- tively ...
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2D Multi Band PCA and its Application for Ear Recognition
... first method, the full gray scale equally is divided between the target numbers of the ...optimization method is used to divide the input image pixels into the target ...PCA method on the resulting ...
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Genetic mapping of principal components of canine pelvic morphology
... One method to explore the relationship between many measurements on the same organ is through principal component analysis (PCA), which classifies phenotypic variation into independent systems of correlated ...
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