Results 1 to 10 of about 465,256 (146)
Tutorial on PCA and approximate PCA and approximate kernel PCA
Artificial Intelligence Review, 2022 Principal 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 ...
Sanparith Marukatat
exaly +2 more sources
N-Dimensional Principal Component Analysis [PDF]
, 2010 In this paper, we first briefly introduce the multidimensional Principal Component Analysis (PCA) techniques, and then amend our previous N-dimensional PCA (ND-PCA) scheme by introducing multidirectional decomposition into ND-PCA implementation.
Yu, Hongchuan
core +6 more sources
Novel folded-PCA for improved feature extraction and data reduction with hyperspectral imaging and SAR in remote sensing [PDF]
, 2014 As a widely used approach for feature extraction and data reduction, Principal Components Analysis (PCA) suffers from high computational cost, large memory requirement and low efficacy in dealing with large dimensional datasets such as Hyperspectral ...
Han, Junwei +6 more
core +4 more sources
Scientific Reports, 2022 Principal Component Analysis (PCA) is a multivariate analysis that reduces the complexity of datasets while preserving data covariance. The outcome can be visualized on colorful scatterplots, ideally with only a minimal loss of information.
E. Elhaik
semanticscholar +1 more source
Singular Learning of Deep Multilayer Perceptrons for EEG-Based Emotion Recognition
Frontiers 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
DWT-PCA based Video Watermarking
Journal of Electronics,Computer Networking and Applied Mathematics, 2022 Progressed watermarking video may be a methodology for embedding additional data another to video salute. Embedded data is utilized for proprietor copyright or recognizable affirmation. It added up to approach for watermarking is shown in this System, by
Swapnil Takale, A. Mulani
semanticscholar +1 more source
Classification models for heart disease prediction using feature selection and PCA
Informatics in Medicine Unlocked, 2020 The prediction of cardiac disease helps practitioners make more accurate decisions regarding patients' health. Therefore, the use of machine learning (ML) is a solution to reduce and understand the symptoms related to heart disease.
Anna Karen Gárate-Escamila +2 more
semanticscholar +1 more source
Classification of biochemical and biomechanical data of diabetic rats treated with magnetic field by pca-supported j48 algorithm [PDF]
Kafkas Universitesi Veteriner Fakültesi Dergisi, 2019 The aim of this study was to investigate the J48 mediated decision tree algorithm from the principal component analysis - PCA, which is more complex, one of the statistical algorithms of diabetic metabolic disorders of Wistar albino rats" biochemical ...
Aykut PELİT +3 more
doaj +1 more source
A pilot study of the paraoxonase-1 (Q192 R) gene polymorphism association with prostate cancer in the Egyptian population [PDF]
Journal of Bioscience and Applied Research, 2020 Background and Objectives: Prostate cancer (PCa) is one of the most common cancer types in men and recognized as the fifth cause of death globally. Human paraoxanase-1 (PON1) is an enzyme synthesized in the liver and linked with high-density lipoprotein (
Hany Abd Al Hamid +4 more
doaj +1 more source
PCA-based Feature Reduction for Hyperspectral Remote Sensing Image Classification
IETE Technical Review, 2020 The hyperspectral remote sensing images (HSIs) are acquired to encompass the essential information of land objects through contiguous narrow spectral wavelength bands.
M. P. Uddin +2 more
semanticscholar +1 more source