Scientific Research Publishing

Souza, T. (2025) Principal Component Analysis (PCA). In: Advanced Statistical Analysis for Soil Scientists, Springer Nature Switzerland, 43-56.

ABSTRACT: Pyrethrum (Chrysanthemum cinerariaefolium L.) is an industrial crop with complex morphology and diverse physico-mechanical properties that jeopardize the optimal design of precision ...
EurekAlert!

Principal component analysis enhances 3D super-resolution microscopy

Inside living cells, mitochondria divide, lysosomes travel, and synaptic vesicles pulse—all in three dimensions (3Ds) and constant motion. Capturing these events with clarity is vital not just for ...
eLife

RETRACTED: Biases of Principal Component Analysis (PCA) in Physical Anthropology Studies Require a Reevaluation of Evolutionary Insights

The authors present a critique of current usage of principal component analysis in geometric morphometrics, making a compelling case with benchmark data that standard techniques perform poorly. The ...
IEEE

Principal Component Analysis in Space Forms

Abstract: Principal Component Analysis (PCA) is a workhorse of modern data science. While PCA assumes the data conforms to Euclidean geometry, for specific data types, such as hierarchical and cyclic ...
Scientific Research Publishing

Robust Principal Component Analysis Integrating Sparse and Low-Rank Priors ()

Principal Component Analysis (PCA) is a widely used technique for data analysis and dimensionality reduction, but its sensitivity to feature scale and outliers limits its applicability. Robust ...