Now showing items 1-10 of 2144
Robust principal components for hyperspectral data analysis
Remote sensing data present peculiar features and characteristics that may make their statistical processing and analysis a difficult task. Among them, it can be mentioned the volume of data involved, the redundancy, the ...
Evaluation of the growth of enterobacteria in fructooligosaccharides using the principal components analysis
(Universidade Tecnológica Federal do Paraná (UTFPR), 2016)
Consistent Principal Component Modes from Molecular Dynamics Simulations of Proteins
(American Chemical Society, 2017-04)
Principal component analysis is a technique widely used for studying the movements of proteins using data collected from molecular dynamics simulations. In spite of its extensive use, the technique has a serious drawback: ...
Scores and principal components: the relationship between components due to subjects and to variables
(Universidad Complutense de Madrid. Facultad de Psicología, 2000-05)
The main purpose of this article is: given a score matrix called S, find out the joint proportional contribution of factors due to persons (conditions, situations, and so forth) and factors due to variables, for any sij ...
Sensor nodes fault detection for agricultural wireless sensor networks based on NMF
(Elsevier B.V., 2018)
Nowadays, Wireless Sensor Networks (WSN) are widely been employed to solve agricultural problems related to the optimization of scarce farming resources, decision making support, and land monitoring. However, the small ...
A new principal component analysis-based approach for testing "similarity" of drug dissolution profiles
(Elsevier Science, 2008-05)
A new approach for testing batch "similarity" through comparison of drug dissolution profiles, based on principal component analysis with the establishment of a confidence region (PCA-CR), is presented. The dissolution ...
Gdpc: An R package for generalized dynamic principal components
(Journal Statistical Software, 2020-02-23)
Gdpc is an R package for the computation of the generalized dynamic principal components proposed in Peña and Yohai (2016). In this paper, we briefly introduce the problem of dynamical principal components, propose a ...
Metabolomic profile and discrimination of white quinoa seeds from Peru based on UHPLC-HRMS and multivariate analysis
In the present work, an untargeted metabolomic approach based on ultra-high-performance liquid chromatography coupled with high-resolution mass spectrometry (UHPLC–HRMS) was performed for the discrimination of 25 accessions ...