This project was my ML start, iterating through array representations of images in a k-nearest neighbor format (Euclidean L2) to classify test cases with 97.71% accuracy. The image files are sourced from the MNIST dataset.
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. "Gradient-based learning applied to document recognition." Proceedings of the IEEE, 86(11):2278-2324, November 1998. [on-line version]