Principal Component Analyses (PCA) for low dimensional representation of material structure

From the course by Технологический институт Джорджии
Materials Data Sciences and Informatics
51 ratings
Технологический институт Джорджии
51 ratings
From the lesson
Materials Knowledge Improvement Cycles
• Learn material structure and its digital representation • Learn how to calculate 2-point statistics • Learn how Principal Component Analysis can be used to reduce dimensionality • Understand Homogenization and Localization concepts

Meet the Instructors

  • Dr. Surya Kalidindi
    Dr. Surya Kalidindi
    The George W. Woodruff School of Mechanical Engineering