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--- other:inspect3d:tutorials:perform_principal_component_analysis [2025/01/17 15:24] – wikisysop
+++ other:inspect3d:tutorials:perform_principal_component_analysis [2026/04/13 20:28] (current) – ↷ Links adapted because of a move operation wikisysop
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 ====== Perform Principal Component Analysis ======
-This tutorial will show you how to use Inspect3D in order to perform [[Sift:Principal_Component_Analysis:Principal_Component_Analysis|Principal Component Analysis]] (PCA) using data from a [[Visual3D:Documentation:Definitions:CMO_Library_|CMO library]]. For a full treatment of waveform-based PCA to find differences in waveform data, see the explanation presented in [[https://us.humankinetics.com/products/research-methods-in-biomechanics-2nd-edition|the Research Methods in Biomechanics textbook]].
+This tutorial will show you how to use Inspect3D in order to perform [[sift:principal_component_analysis|Principal Component Analysis]] (PCA) using data from a [[Visual3D:Documentation:Definitions:CMO_Library_|CMO library]]. For a full treatment of waveform-based PCA to find differences in waveform data, see the explanation presented in [[https://us.humankinetics.com/products/research-methods-in-biomechanics-2nd-edition|the Research Methods in Biomechanics textbook]].
 For this tutorial, we will be comparing the the knee flexion angles between participants with osteoarthritis and the normal control group. Our problem is to provide an explanation for differences in knee flexion angles between osteoarthritic walking versus normal walking. We can accomplish this by defining two groups that meet these signal definitions, performing PCA, and interpreting the results.