Problems Identification: This project involves the implementation of efficient and effective KNN classifiers on MNIST data set. The MNIST data comprises of digital images of several digits ranging from 0 to 9. Each image is 28 x 28 pixels. Thus, the data set has 10 levels of classes.
mnist pca-analysis pca mnist-classification knn-search knn mnist-data knn-graphs knn-matting knn-algorithm-proof mnist-nn mnist-classifier nn-predictive-control mnist-model knn-regression knn-classification knn-model mnist-handwriting-recognition knn-classifier
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Updated
Oct 30, 2017 - Jupyter Notebook