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Last Updated: June 13, 2026
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Visualizing Classifier Boundaries using Kernel PCA
Principal Component Analysis (PCA)
The Kernel Trick in Support Vector Machine (SVM)
8.6 David Thompson (Part 6): Nonlinear Dimensionality Reduction: KPCA
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In this video you will learn about three very common methods for data dimensionality reduction: Video made for Dr. Alan Izenman's Data Mining class, Fall 2013, to demonstrate the emerging circular pattern of the Part of the Course "Statistical Machine Learning", Summer Term 2020, Ulrike von Luxburg, University of Tübingen. Welcome to Lecture 9 of the course "Machine Learning Techniques" by Prof. Arun Rajkumar. Full Course: ...
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