My Special Project (Recognition of Hand Written Digits Through PCA)

The Principal Components Analysis (PCA) algorithm has been very useful in many applications such as image compression and decreasing the dimensionality of high-dimensional datasets.  The PCA is a statistical implementation of finding the eigenvectors which represent the dataset.  These eigenvectors are arranged according to the variance of the data in a specific dataset.