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About A Tutorial On Principal Component Analysis
This document provides an overview and tutorial on principal component analysis (PCA). It begins with a simple example of analyzing the motion of a spring to build intuition. It then discusses the mathematical framework of PCA, which finds the most meaningful basis to express noisy, complex data sets. The goal is to filter out noise and reveal hidden dynamics. The tutorial aims to provide both an intuitive understanding as well as mathematical rigor around PCA and how it relates to singular value decomposition.
Detailed Information
| Author: | ['Taylor'] |
|---|---|
| Publication Year: | 2013 |
| Pages: | 16 |
| Language: | English |
| Format: | |
| Price: | FREE |
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