Little face recognizer which employs pca, fisher discriminant analysis, and knn. It was developed at the data science degree in UC3m with @mentions(https://github.com/madebypixel02)
This project is updated with educational purposes. It is far from being used practically.
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It can only recognize 25 faces which will be labeled with numbers from 1 to 25 (used as training set from the images folder. Gotten here: https://cmp.felk.cvut.cz/~spacelib/faces/faces96.html ).
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If it can not recognize a face it will label it a 0.
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It supports only images of the dimensions of the images in the folder 'images'.
Note: the main class es mda.R, if you want to test it, you should open the test_classifier.R file