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

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From the course by Georgia Institute of Technology
Materials Data Sciences and Informatics
33 ratings
Georgia Institute of Technology

Materials Data Sciences and Informatics

33 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
    Professor
    The George W. Woodruff School of Mechanical Engineering