In the conclusion of this three-part series, an ambitious idea becomes a reality, uncovering hidden patterns in decades of historical ...

Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy ...

Researchers at University of Tsukuba have developed a technology for real-time estimation of the valence state and growth rate of iron oxide thin films during their formation. This novel technology ...

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 ...

Abstract: Principal Component Analysis (PCA) aims to acquire the principal component space containing the essential structure of data, instead of being used for mining and extracting the essential ...

GoPCA is the go-to application for Principal Component Analysis - a fundamental machine learning technique for understanding complex, multivariate data. Whether you're analyzing spectroscopic data, ...

Guangxi Colleges and Universities Key Laboratory of Data Analysis and Computation, College of Mathematics and Computing Science, Guilin University of Electronic Technology, Guilin, China. With the ...

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 ...

In this study, 57 diverse genotypes of Solanum melongena L. comprising commercial varieties, advanced breeding lines, and wild Solanum accessions maintained as a pure line at the Division of Vegetable ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Mass spectrometry imaging (MSI) is constantly improving in spatial resolving power, ...