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About A Tutorial On Principal Component Analysis
This document provides a tutorial on principal component analysis (PCA). It begins with an intuitive example of using PCA to analyze motion data from an oscillating spring collected by multiple cameras. The goal of PCA is introduced as determining the most meaningful basis to represent the data. Linear algebra concepts are used to formalize the data as vectors and establish a framework for changing the basis. The tutorial aims to build intuition for how and why PCA works through informal explanations supplemented with mathematical rigor.
Detailed Information
| Author: | ['Cristóbal Alberto Campos Muñoz'] |
|---|---|
| Publication Year: | 2015 |
| Pages: | 12 |
| Language: | English |
| Format: | |
| Price: | FREE |
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