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.
Table of contents
- Quick start
- Run instructions
- What’s included
- Bugs and Feature requests
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:
shell script 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 email@example.com
Bugs and feature requests
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
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