k-nearest neighbour classification of versatile Distance version for test set from training set. For each row of the test set, the k nearest (in multiple distances) training set vectors are found, and the classification is decided by majority vote. This function allows you measure the distance bewteen vectors by six different means. K Threshold Value Check and Same K_i Problem Dealing are also been considered.
k-nearest neighbour classification of Mahalanobis Distance version for test set from training set. This function allows you measure the distance bewteen vectors by Mahalanobis Distance. K Threshold Value Check and Same K_i Problem Dealing are also been considered.
providing 
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