Handwritten-Digit-KNN-CPP

What is this

A simple handwritten digit classifier in KNN coded with C++ using the MNIST dataset.

There is no optimization on the algorithm.

Build & Run

The dataset will be downloaded while building, so you just need:

1. Build it with make
2. Now if there is no error, you will get a huge binary executable file (~55MB) with the dataset embedding in.
3. Usage: ./knn K P
4. Example: ./knn 10 3, in which the '10' is the 'K' and the '3' is the power in minkowski_distance.

Debug

Run the whole dataset while debugging is unnessary, so you can build it in debug mode:

1. Build it with make debug
2. Debug Usage: ./debug K P TrainImageNum TestImageNum
3. Example: ./debug 10 3 6000 2000, in which '6000' is the number of images will be used from training dataset and '2000' is the number of images will be used from testing dataset.

License

WTFPL