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facial-recognition-using-PCA

Reconstructed images using PCA, thereby reducing dimensionality and size as compared to the original image using R. In addition, performed other analysis on a dataset containing images. Partioned the data into training and test sets and performed PCA using eigendecomposition (manually in R).

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Reconstructed images using PCA, thereby reducing dimensionality and size as compared to the original image.

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