https://github.com/gianlucatruda/pca-vis

Real-time tool for exploring the relationships between PCA components and input features
https://github.com/gianlucatruda/pca-vis

data-science dimensionality-reduction interactive matplotlib-pyplot pca principal-component-analysis principal-components pygame sklearn

Last synced: 7 days ago
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Real-time tool for exploring the relationships between PCA components and input features

• Host: GitHub
• URL: https://github.com/gianlucatruda/pca-vis
• Owner: gianlucatruda
• License: mit
• Created: 2019-04-13T09:26:40.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2019-04-13T10:55:51.000Z (over 5 years ago)
• Last Synced: 2024-12-06T19:11:32.744Z (16 days ago)
• Topics: data-science, dimensionality-reduction, interactive, matplotlib-pyplot, pca, principal-component-analysis, principal-components, pygame, sklearn
• Language: Python
• Homepage:
• Size: 6.48 MB
• Stars: 1
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# PCA Visualisation

Real-time tool for exploring the relationships between [PCA](https://en.wikipedia.org/wiki/Principal_component_analysis) components and input features.

Or, _"Roughly what do these principal components actually correspond to?"_

![Demonstration GIF](docs/demo.gif)

## Features

* Real-time plot to give intuition about prinipal components.

* Sliders dynamically created for each input feature.

* Sliders begin at mean and are scaled to feature data ranges, giving an intuitive feel of how "sensitive" the components are to each feature.

## Installation

```bash

pip install -r requirements.txt

```

Matplotlib has to be installed as a framework.

## Usage

Run the demo on the [iris dataset](http://archive.ics.uci.edu/ml/datasets/iris) using:

```bash

python3 pca_vis.py

```

Or load any dataset as a Pandas DataFrame and pass it into the `main()` function as an argument.

## Understanding 

To learn a bit more about PCA, check out my friend Gary's [repo](https://github.com/GaryFinkelstein/Principal-Component-Analysis).

## Contributions

* Gianluca Truda — [Github](https://github.com/gianlucatruda) | [LinkedIn](https://za.linkedin.com/in/gianluca-truda)

This project was inspired by [this one](https://github.com/HackerPoet/FaceEditor) and adapted the generic slider code [from here](https://www.dreamincode.net/forums/topic/401541-buttons-and-sliders-in-pygame/).