Results 111 to 120 of about 563,170 (163)

Trend and principal components of HIV/AIDS among adults in SSA. [PDF]

Sci Rep
Hailu BA.
europepmc   +1 more source

Evaluating the Verbal Behavior Milestones Assessment and Placement Program (VB-MAPP) Scores Using Principal Components Analysis. [PDF]

Cureus
Peterson T, Dodson J, Sherwin R, Strale F.   +3 more
europepmc   +1 more source

Fortuitous Correlations in Molecular Dynamics Simulations: Their Harmful Influence on the Probability Distributions of the Main Principal Components. [PDF]

ACS Omega
Palma J, Pierdominici-Sottile G.
europepmc   +1 more source

Principal Components Analysis of Spot Urine Caffeine and Caffeine Metabolites Identifies Promising Exposure Biomarkers of Caffeine and Theobromine Intake in a Cross-Sectional Survey of the United States Population (National Health and Nutrition Examination Survey 2009-2014). [PDF]

Curr Dev Nutr
Pao CI, Rybak ME, Sternberg MR.
europepmc   +1 more source

Constrained Multivariate Functional Principal Components Analysis for Novel Outcomes in Eye-Tracking Experiments. [PDF]

Stat Biosci
Kwan B, Sugar CA, Qian Q, Shic F, Naples A, Johnson SP, Webb SJ, Jeste S, Faja S, Levin AR, Dawson G, McPartland JC, Şentürk D.   +12 more
europepmc   +1 more source

A Principal Components Analysis and Functional Annotation of Differentially Expressed Genes in Brain Regions of Gray Rats Selected for Tame or Aggressive Behavior. [PDF]

Int J Mol Sci
Chadaeva I, Kozhemyakina R, Shikhevich S, Bogomolov A, Kondratyuk E, Oshchepkov D, Orlov YL, Markel AL.   +7 more
europepmc   +1 more source

Spurious principal components

, 2017
Franses, Philip Hans, Janssens, E
openaire   +2 more sources

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Principal Components Analysis

2012
Principal components analysis (PCA) is a standard tool in multivariate data analysis to reduce the number of dimensions, while retaining as much as possible of the data's variation. Instead of investigating thousands of original variables, the first few components containing the majority of the data's variation are explored.
Groth, D., Hartmann, S., Klie, S., Selbig, J.   +3 more
openaire   +3 more sources

Coupled Principal Component Analysis

IEEE Transactions on Neural Networks, 2004
A framework for a class of coupled principal component learning rules is presented. In coupled rules, eigenvectors and eigenvalues of a covariance matrix are simultaneously estimated in coupled equations. Coupled rules can mitigate the stability-speed problem affecting noncoupled learning rules, since the convergence speed in all eigendirections of the
Möller, Ralf, Könies, Axel
openaire   +5 more sources