Results 1 to 10 of about 383,385 (161)

Tutorial on PCA and approximate PCA and approximate kernel PCA

open access: yesArtificial Intelligence Review, 2022
AbstractPrincipal Component Analysis (PCA) is one of the most widely used data analysis methods in machine learning and AI. This manuscript focuses on the mathematical foundation of classical PCA and its application to a small-sample-size scenario and a large dataset in a high-dimensional space scenario.
Sanparith Marukatat   +1 more
exaly   +2 more sources

PCA of waveforms and functional PCA: A primer for biomechanics [PDF]

open access: yesJournal of Biomechanics, 2021
Principal components analysis (PCA) of waveforms and functional PCA (fPCA) are statistical approaches used to explore patterns of variability in biomechanical curve data, with fPCA being an accepted statistical method grounded within the functional data analysis (FDA) statistical framework.
John Warmenhoven   +2 more
exaly   +3 more sources

Singular Learning of Deep Multilayer Perceptrons for EEG-Based Emotion Recognition

open access: yesFrontiers in Computer Science, 2021
Human emotion recognition is an important issue in human–computer interactions, and electroencephalograph (EEG) has been widely applied to emotion recognition due to its high reliability.
Weili Guo   +6 more
doaj   +1 more source

Melissopalynology analysis, determination of physicochemical parameters, sugars and phenolics in Maltese honey collected in different seasons [PDF]

open access: yesJournal of the Serbian Chemical Society, 2022
Malta, a country renowned for its honey, has not been extensively mentioned in studies based on honey. In addition to many parameters, the collection period affects honey quality, precisely due to the different floral composition that exists during a ...
Bugeja Douglas Adrian   +9 more
doaj   +1 more source

PCA Rerandomization

open access: yesCanadian Journal of Statistics, 2023
AbstractMahalanobis distance of covariate means between treatment and control groups is often adopted as a balance criterion when implementing a rerandomization strategy. However, this criterion may not work well for high‐dimensional cases because it balances all orthogonalized covariates equally.
Hengtao Zhang   +2 more
openaire   +3 more sources

Bazı Tescilli Nohut Çeşitlerinin Elek Analiz Değerleri

open access: yesTurkish Journal of Agriculture: Food Science and Technology, 2021
Ülkemizde nohut hem yaş hem de kuru olarak farklı süreçlerden geçerek tüketilmektedir. Tüketimde tercihen iri taneli nohutlar tercih edilirken 6 mm elek altı genellikle tercih edilmemektedir.
Hamdi Özaktan
doaj   +1 more source

Prioritising sub-watersheds using morphometric analysis, principal component analysis, and land use/land cover analysis in the Kinnerasani River basin, India

open access: yesH2Open Journal, 2022
Due to the depletion of natural resources including land and water as a result of rapid population increase, industrialisation, and urbanisation, effective resource management is essential for long-term development. The Kinnerasani Watershed in Telangana
Padala Raja Shekar, Aneesh Mathew
doaj   +1 more source

Experimental investigation of 50 MPa reinforced concrete slabs subjected to blast loading

open access: yesIngeniería e Investigación, 2018
This paper presents results from blast tests conducted on four 50 MPa concrete slabs with reinforcement ratios of 0,175% and 0,37%. Two of the slabs were retrofitted with 50 mm thick foam in order to investigate the potential of using the foam as a ...
Fausto Mendonça   +2 more
doaj   +1 more source

PCA Meets RG [PDF]

open access: yesJournal of Statistical Physics, 2017
A system with many degrees of freedom can be characterized by a covariance matrix; principal components analysis (PCA) focuses on the eigenvalues of this matrix, hoping to find a lower dimensional description. But when the spectrum is nearly continuous, any distinction between components that we keep and those that we ignore becomes arbitrary; it then ...
Bradde, Serena, Bialek, William
openaire   +3 more sources

Genetic diversity of parental clones used in breeding programs of sugarcane

open access: yesElectronic Journal of Plant Breeding, 2021
The present investigation aimed to assess the nature and magnitude of genetic divergence available in the Hybridization Block (E1) and National Hybridization Garden (E2) of ICAR-Sugarcane Breeding Institute, Coimbatore and to select the suitable diverse ...
S. Alarmelu*, A. Anna Durai, H. K. Mahadeva Swamy, G. Hemaprabha and Adhini S. Pazhany
doaj   +1 more source

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