Week2 Kernelpca

Summary

open session followed by a Demonstration of Basics of PCA & Issues related to PCA and how to fix it. Mercer's Theorem, a.k.a. the "Kernel Trick", is a recurring theme in unsupervised learning methods. This lecture describes one ... What is the kernel trick? This video was recorded as a tutorial for the course: "Machine Intelligence 2: Unsupervised Methods" ... How to effectively center the data in How to formulate the eigenvalue problem for In the last video, we used PCA to act as a trash compactor for our data, dropping useless dimensions and keeping the most ... Be mindful while watching the video, watch with full focus and attention. Ideally, sit with a pen and paper and solve with me, pause ... 1) Motivation & Methods of Dimensionality Reduction 2) Principal Component Analysis (PCA) 3) Video made for Dr. Alan Izenman's Data Mining class, Fall 2013, to demonstrate the emerging circular pattern of the