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There is a really nice article Introduction to K-means Clustering which explains in a more detailed way how the algorithm works.

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K-means clustering is a type of unsupervised learning, which is used when you have unlabeled data (i.e., data without defined categories or groups). The goal of this algorithm is to find groups in the data, with the number of groups represented by the variable K.