13-D Wine data visualization & classification using 2D Self Organizing Maps.
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Self Organizing Map - An Unsupervised learning technique to visualize and classify 13 dimensional wine data by mapping it to a 2D map.
- Quick start
- Pre-Requisites
- Run instructions
- Status
- What's included
- Documentation
- Bugs and Feature requests
- Creators
- Thanks
There are two ways to run this app:
- Download the latest Docker container. and run from the app in that container ( NOte: No Docker container at the moment)
- Clone the repo:
git clone https://github.com/Sudharsan10/self-organizing-maps.git
Within the download you'll find the following directories and files, logically grouping the modules in its own packages. You'll see something like this:
Self Organizing Maps/
├── data/
| ├── Processed/...
| └── Raw/...
├── docs/ ...
├── img/ ...
├── notebooks/
| ├── __init__.py
| ├── test_tile_puzzle_solver.py
| └── tile_puzzle_solver.py
├── src/
| ├── handler/
| | ├── __init__.py
| | └── utility.py
| └── som
| ├── __init__.py
| ├── som.py
| └── som2d.py
├── Readme.md
├── main.py
└── setup.py
Note: Few of the sections are under progress, if you need info on those sections please feel free to reach out to me s10@terpmail.umd.edu
Have a bug or a feature request? Search for existing and closed issues, if your problem or idea is not addressed yet, please open a new issue.
@Sudharsan : https://github.com/Sudharsan10