8.6 David Thompson (Part 6): Nonlinear Dimensionality Reduction: KPCA
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Last Updated: October 17, 2026
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open session followed by a Demonstration of Mercer's Theorem, a.k.a. the "Kernel Trick", is a recurring theme in unsupervised learning methods. This lecture describes one ... Basics of PCA & Issues related to PCA and how to fix it. How to effectively center the data in How to formulate the eigenvalue problem for What is a feature expansion? This video was recorded as a tutorial for the course: "Machine Intelligence 2: Unsupervised ... That will take in as an input, and R cross n Matrix is returned as the output where R is the rank of the kernel Matrix in In this lecture, learn how to implement What is the kernel trick? This video was recorded as a tutorial for the course: "Machine Intelligence 2: Unsupervised Methods" ...