Results 21 to 30 of about 563,921 (264)
Principal components analysis for mixtures with varying concentrations
Modern Stochastics: Theory and Applications, 2021 Principal Component Analysis (PCA) is a classical technique of dimension reduction for multivariate data. When the data are a mixture of subjects from different subpopulations one can be interested in PCA of some (or each) subpopulation separately.
Olena Sugakova, Rostyslav Maiboroda
doaj +1 more source
Power swing detecting method using principal components analysis
Energy Reports, 2021 During power swing, the distance protection is easily affected by the oscillations of voltage and current which may lead to the mal-operation of the protection. Therefore, a power swing detecting unit is needed to cooperate with distance protection.
Hao Wang +7 more
doaj +1 more source
Euler Principal Component Analysis [PDF]
International Journal of Computer Vision, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Stephan Liwicki +3 more
openaire +4 more sources
Application of Principal Component Analysis for Steel Material Components
Kurdistan Journal of Applied Research, 2022 In this research, we made use of the principal component analysis (PCA) technique, which is a multivariate statistical method that transforms a fixed number of correlated variables into a fixed number of orthogonal, uncorrelated axes known as principal ...
Miran Othman Tofiq +1 more
doaj +3 more sources
Population structure identification of Turkmen and Darehshori horses using PCA, DAPC, and SPC methods [PDF]
مجله بیوتکنولوژی کشاورزی, 2022 ObjectiveConservation of the genetic diversity of indigenous animals is very important. For the sustainable use of genetic resources, it is necessary to first study the genetic structure of populations.
Ghazaleh Javanmard +5 more
doaj +1 more source
Extended Principal Component Analysis
CoRR, 2021 Principal Component Analysis (PCA) is a transform for finding the principal components (PCs) that represent features of random data. PCA also provides a reconstruction of the PCs to the original data. We consider an extension of PCA which allows us to improve the associated accuracy and diminish the numerical load, in comparison with known techniques ...
Pablo Soto-Quiros, Anatoli Torokhti
openaire +2 more sources
Investigation of Morphological Diversity and Evaluation of Tomato Lines Yield Using Multivariate Statistical Analysis [PDF]
Majallah-i ̒Ulum-i Bāghbānī, 2022 Introduction Tomato is a product with a wide range of genotypes with different yields and selection based on this trait and its components can accelerate the breeding programs of this plant.
S. Golcheshmeh +3 more
doaj +1 more source
FACIAL EXPRESSION RECOGNITION BASED ON PRINCIPAL COMPONENTS ANALYSIS [PDF]
International Journal of Intelligent Computing and Information Sciences, 2016 Recognizing facial expression is one of the most effective applications of image processing and has obtained great attention in latest years. A recognition system for facial expression is a computer based application which detects an individual facial ...
A. Hewa, O. Nomir, A. Saleh
doaj +1 more source
ANOVA bootstrapped principal components analysis for logistic regression
Croatian Review of Economic, Business and Social Statistics, 2022 Principal components analysis (PCA) is often used as a dimensionality reduction technique. A small number of principal components is selected to be used in a classification or a regression model to boost accuracy.
Toleva Borislava
doaj +1 more source
Identification of dietary patterns by principal component analysis in schoolchildren in the South of Brazil and associated factors [PDF]
Revista Brasileira de Saúde Materno Infantil, 2020 Objectives: to identify dietary patterns (DP) and associated factors in first grade school-children in elementary schools in the South of Brazil. Methods: school-based cross-sectional study, with a non-probabilistic sample of 782 schoolchildren aged 6 ...
Gabriela Rodrigues Bratkowski +3 more
doaj +4 more sources