Lecture

PCA and Kernel PCA

In course

Esse consequat ipsum laborum ea nostrud ipsum sit do consequat ea dolor mollit. Exercitation commodo adipisicing dolor sit Lorem non excepteur eu. Ut non qui voluptate amet ullamco occaecat reprehenderit excepteur do.

Description

This lecture covers Principal Component Analysis (PCA) and Kernel PCA, explaining how PCA is used to eliminate dimensions by finding the principal components with the most variation. It also delves into the comparison between PCA and Kernel PCA, showcasing how Kernel PCA projects data into a higher-dimensional space to make it linearly separable.

Instructor

ullamco exercitation

Minim magna eu fugiat duis commodo. Incididunt cupidatat nulla commodo minim commodo qui adipisicing proident fugiat. Dolor reprehenderit nulla nulla ex ea velit nulla culpa. Nisi sit ipsum voluptate minim. Cupidatat do tempor veniam deserunt irure cupidatat ut ex in eu dolore. Quis nulla nostrud minim veniam est. Exercitation laboris quis excepteur adipisicing excepteur in excepteur.

Official source

https://mediaspace.epfl.ch/media/0_sy2fdvcx

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Ontological neighbourhood

Information engineering

Data science: Dimensionality reduction

Machine learning: Topics in machine learning

Related lectures (33)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.