Dataset: wine, https://archive.ics.uci.edu/ml/machine-learning-databases/wine/
k = 1, 2, 3
30 iterations and in each iteration we randomly choose train data(80%) and Test data(20%)
Methods for calculating the distance between two samples: Euclidean distance - Cosine distance
knnsearch_k1.m , knnsearch_k2.m , knnsearch_k3.m -> K-nearest-neighbor by using knnsearch library