In a previous post we saw the differences between K-means and K-NN. Here is step by step on how to compute K-nearest neighbors KNN algorithm. Determine parameter K = number of nearest neighbors Calculate the distance between the query-instance and all the training samples Sort the distance and determine nearest neighbors based on the K-th minimum distance Gather the category of the nearest...
