k-means is a unsupervised Machine Learning to perform cluster analysis. More discussion about Machine Learning can be found here. Cluster analysis is meant to divide a group of data points into clusters according to their similarity pattern. k-means locates a number of k centroids among the data points to which each data point is clustered to the nearest centroid. The location of the k or centroid represents the center of their clusters. The distance of centroid to each data point in the cluster is computed to be as small as possible. The number of k is the number of centroids or clusters that the data points will be distinguished into.
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Data Science and GIS 