marktechpost

Kernel Principal Component Analysis (PCA): Explained with an Example

Dimensionality reduction techniques like PCA work wonderfully when datasets are linearly separable—but they break down the moment nonlinear patterns appear. That’s exactly what happens with datasets ...
IEEE

Blockwise Principal Component Analysis for monotone missing data imputation and dimensionality reduction

Abstract: Monotone missing data is a common problem in data analysis. However, imputation combined with dimensionality reduction can be computationally expensive, especially with the increasing size ...
IEEE

Theoretical Guarantees for Sparse Principal Component Analysis Based on the Elastic Net

Abstract: Sparse principal component analysis (SPCA) is widely used for dimensionality reduction and feature extraction in high-dimensional data analysis. Despite many methodological and theoretical ...
Frontiers

Comparison between compositional data analysis and principal component analysis for identifying dietary patterns associated with hyperuricemia

Background/objectives: Dietary patterns play an important role in regulating serum uric acid (SUA) levels in the body. Recently, compositional data analysis (CoDA) has been proposed as an alternative ...
C&EN

Principal Component Analysis Followed by Mahalanobis Distance Classification for Authentication of Vaccinium Berry Ingredients and Supplements via LC-MS/MS-based Anthocyanin ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...
Scientific Research Publishing

Shlens, J. (2014). A Tutorial on Principal Component Analysis. arXiv: 1404.1100.

ABSTRACT: This study applies Principal Component Analysis (PCA) to evaluate and understand academic performance among final-year Civil Engineering students at Mbeya University of Science and ...
C&EN

High-Resolution TG-TOFMS Coupled with Principal Component Analysis and Kendrick Mass Defect Analysis: Elucidation of Molecular-Scale Degradation Behavior of Glass Fiber ...

Research Institute for Sustainable Chemistry, National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Higashi, Tsukuba 305-8565, Japan Research Institute for Sustainable ...
Scientific Research Publishing

Park, H. S., Dailey, R., & Lemus, D. (2002). The Use of Exploratory Factor Analysis and Principal Components Analysis in Communication Research. Human Communication Research ...

ABSTRACT: To investigate scale development research in advertising, communication, and public relations, in this study, we analyzed 240 articles from 38 journals with a publication date up to 2023. We ...