Lecture

Data Characterization: PCA & Spike Sorting

In course

Commodo amet pariatur duis esse veniam tempor nisi laborum reprehenderit elit. Non mollit occaecat nostrud quis. Tempor laboris ea ex ea nostrud dolore. Enim proident sunt occaecat dolore voluptate ullamco ad ex qui occaecat tempor officia. Elit cupidatat cillum reprehenderit ad tempor eiusmod consequat adipisicing qui.

Description

This lecture covers the concept of Principal Component Analysis (PCA) in data processing, focusing on reducing variables to simplify data interpretation. It also delves into Spike Sorting, a method to identify distinct shapes in recorded data, using PCA to reduce complexity and analyze characteristics. The instructor explains how PCA transforms data into uncorrelated elements and the importance of eigenvalues in reducing problem dimensions.

Instructor

Anim in officia consequat sunt cillum. Et reprehenderit elit officia nulla. Ut eiusmod nisi labore duis dolore cupidatat duis Lorem nostrud. Ad do excepteur laborum exercitation Lorem velit voluptate exercitation consectetur non.

Official source

https://mediaspace.epfl.ch/media/0_9y8evf5u

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: Topics in data science

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.