DMFinalProject

This is a project that uses OPTICS clustering algorithm to cluster footballer faces and diabetic patients' data.

Requirements :

Install scipy==0.21dev0 with :

pip install git+https://github.com/scikit-learn/scikit-learn.git 

unless OPTICS is now part of the stable releas

Install all the rest of the requirements with:

pip install -r requirements.txt

Getting Started

File structure

Datasets

*dataset_diabetes*

    - diabetic_data.csv : 130 US hospital data from 1999 to 2008[1](https://archive.ics.uci.edu/ml/datasets/Diabetes+130-US+hospitals+for+years+1999-2008)

    - IDs_mapping.csv   : mapping for admission type, discharge disposition and admission source

*footballers*   : 124 footballers' photo (Neymar Jr., Lionel Messi, Cristiano Ronaldo, Luis Suarez, and Mohamed Salah)
    *Predict*   : 5 footballers' photo to use for prediction (Neymar Jr., Lionel Messi, Cristiano Ronaldo, Luis Suarez, and Mohamed Salah)

Ressources

- footballers_encodings.pickle          : Encodings of the footballers after using *encode_faces.py*

- footballers_predict_encodings.pickle  : Encodings of the footballers for prediction after using *encode_faces.py*

- GUFD_encodings.pickle                 : Encodings of the GUFD photo after using *encode_faces.py*

- shape_predictor_68_face_landmarks.dat : Used to extract facial features in *encode_features.py*

• encode_faces.py : used to encode the face in an image as a 128-d vector

• encode_features.py : used to encode the facial features of a face as a 7-d vector

• faces_clustering.py : used to cluster the footballers' faces

• diabetic_clustering.py : used to cluster the diabetic's data

• similarity_clustering.py : used to cluster the GUFD dataset based on facial features similiarities

• optics.py : contains the clustering and predicting methods

• requirements.txt : file containing all the python packages requirements

Authors

• Victor MEUNIER - DMFinalProject - MrEliptik

License

This project is licensed under the MIT License - see the LICENSE.md file for details