Description: k-means clustering is one of the most famous partition clustering algorithm, due to the simplicity and efficiency so that he became the most widely used in the clustering algorithm. Given a collection of data points and the number of clusters k, k specified by the user, the k-means algorithm based on a distance function repeated data points into k clusters.
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K-MEANS.cpp
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