Face attractiveness recognition project done in Python.
Concepts used :
Dimentionality extraction : PCA (Principal Component Analysis), NMF (Non-negative Matrix Factorization), LDA (Linear Discriminant Analysis) Clustering : Gaussian Mixture Model (Expectation Maximization algorithm) Classification : kNN, Bayesian
Implementation : Python, NumPy, SciPy
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I will not be publishing the data-set used for this project as it is somebody else's work.
--DISCLAIMER--
- This source has been uploaded only for the purpose of reference.
- The motive behind is to give some support to those who are doing Pattern Recognition projects which are primarily done in MATLAB, in Python.
- The amount of support from profs in order to do projects in Python, as opposed to MATLAB is less.
- Please do not use my code per-se for anything. Learn the implementation methods. My implementation might be buggy / inefficient.