#KNN Analytics
This python script compares speed and accuracy of K-Nearest Neighbour algorithm with different distance functions.
The algorithm has been applied on MNIST data- a collection of 42000 handwritten digit (0-9) images.
The final cell of the jupyter notebook provides a summary of the result.
Inference: Weighted K-Nearest Neighbour algorithm with Hellinger Distance provides the best accuracy. Time difference among methods was found to be negligible.