AdditionaToClustering.py

class Clustering:

   def k_means_clustering(self, n, s=1.0):
        """
        This method performs the K-means clustering algorithm on the data for n iterations. This involves updating the
        centroids using the mean-shift heuristic n-times and reassigning the patterns to their closest centroids.
        :param n: number of iterations to complete
        :param s: the scaling factor to use when updating the centroids
        pick on which has a better solution (according to some measure of cluster quality)
        """

        for i in range(n):
            self.assign_patterns()
            self.update_centroids(s)