Introduction to K-means Clustering

www.datascience.com

K-means clustering is a type of unsupervised learning, which is used when you have unlabeled data. Rather than defining groups before looking at the data, clustering allows you to find and analyze the groups that have formed organically. This can be used to confirm business assumptions about what types of groups exist or to identify unknown groups in complex data sets.

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