A course project. Currently contains 2 algorithm, K-nn and K-means. 2 implementation, Handwriting digit recognition using MNIST dataset, and Object detection using SURF algorithm.
Using Oxyplot for views, Accord.NET Framework for SURF algorithm and DirectShow webcam.
Launch KmeansKnn.exe, input m for Kmeans, n for Knn, q to quit.
Launch HandwritingDigitRecognition.exe, input U for preset trained data, use mouse to draw in input box then click classify button.
Launch ML_ObjectDetection.exe, program will start extract features. When finish, mainform will show up, load image then click recognize button.
Refer to release pages
.Net 4.5 Visual Studio 2015