PCA of PCA: principal component analysis of partial covering absorption in NGC 1365 [PDF]
Monthly Notices of the Royal Astronomical Society, 2014 We analyse 400 ks of XMM-Newton data on the active galactic nucleus NGC 1365 using principal component analysis (PCA) to identify model independent spectral components. We find two significant components and demonstrate that they are qualitatively different from those found in MCG?6-30-15 using the same method.
Parker, M. L. +3 more
openaire +7 more sources
Supercritical fluid extraction and encapsulation of Rivas (Rheum ribes) flower: Principal component analysis (PCA) [PDF]
HeliyonSupercritical CO2 modified by polar solvents can extract a wide variety of polar and non-polar chemical components compared to conventional methods. The current study aims to extract Rivas (Rheum ribes) flower using the ethanol modified supercritical CO2
Seyyed Ali Hoseini +4 more
doaj +2 more sources
Identification of Dominant Air Pollutants Over Hyderabad Using Principal Component Analysis (PCA) [PDF]
Nature Environment and Pollution Technology, 2022 The study aims to bring out the interdependence of the air pollutant components through Correlation and Principal Component Analysis (PCA) to identify the sources causing air pollution in Residential, Resident cum Industrial and Industrial areas of ...
N. Vasudha and P. Venkateswara Rao
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EVALUATION OF DIMENSIONS OF FARMER ATTITUDES IN PRINCIPAL COMPONENT ANALYSIS (PCA) [PDF]
Annals of the Polish Association of Agricultural and Agribusiness Economists, 2020 The aim of the article was to identify leading relationship attitudes among farmers keeping animals of conservative breeds. The practical justification for the adopted analyses was to identify factors that foster desirable relations (attitudes) in ...
Marta Domagalska-Grędys
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HisCoM-PCA: software for hierarchical structural component analysis for pathway analysis based using principal component analysis [PDF]
Genomics & Informatics, 2020 In genome-wide association studies, pathway-based analysis has been widely performed to enhance interpretation of single-nucleotide polymorphism association results.
Nan Jiang, Sungyoung Lee, Taesung Park
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Principal component analysis (PCA) on temporal changes of soil health indicators
Ilmu Pertanian (Agricultural Science), 2023 Soil health indicators are related to environmental factors, such as nutrient management, crop practices, different cropping systems, and biodiversity. 14 soil health indicators were measured and compared in our study to clarify the impact of different ...
Fakher Kardoni
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Facial recognition system using eigenfaces and PCA [PDF]
Mathematics and Computational Sciences, 2023 Face recognition is an essential field of image processing and computer vision. In this paper, we have developed a facial recognition system that can detect and recognize the face of a person by comparing the characteristics, and features of the face to ...
Hamid Yazdani, Ali Shojaeifard
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OS-PCA: Orthogonal Smoothed Principal Component Analysis Applied to Metabolome Data
Metabolites, 2021 Principal component analysis (PCA) has been widely used in metabolomics. However, it is not always possible to detect phenotype-associated principal component (PC) scores.
Hiroyuki Yamamoto +2 more
doaj +1 more source
SuSiE PCA: A scalable Bayesian variable selection technique for principal component analysis
iScience, 2023 Summary: Latent factor models, like principal component analysis (PCA), provide a statistical framework to infer low-rank representation in various biological contexts. However, feature selection is challenging when this low-rank structure manifests from
Dong Yuan, Nicholas Mancuso
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Principal Component Analysis (PCA) for Powder Diffraction Data: Towards Unblinded Applications
Crystals, 2020 We analyze the application of Principal Component Analysis (PCA) for untangling the main contributions to changing diffracted intensities upon variation of site occupancy and lattice dimensions induced by external stimuli.
Dmitry Chernyshov +3 more
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