Principal component analysis and dimensional analysis as materials informatics tools to reduce dimensionality in materials science and engineering

DOI10.1002/SAM.10031OpenAlexW3083437669MaRDI QIDQ4969649

Changwon Suh, Krishna Rajan, Patricio F. Mendez

Publication date: 14 October 2020

Published in: Statistical Analysis and Data Mining: The ASA Data Science Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/sam.10031

zbMATH Keywords

principal component analysisscalingdata miningdimensionality reductiondimensional analysisstatistical modelingmaterials informatics

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Cites Work

• Scaling Laws From Statistical Data and Dimensional Analysis
• Enhancing the plausibility of law equation discovery through cross check among multiple scale-type-based models
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