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Glossary term
Grouping similar data points together without predefined labels.
Clustering groups data points so that those in the same group are more similar to each other than to the rest. No labels are given; the algorithm discovers the groups.
Common methods include k-means and hierarchical or density-based clustering.
It is used to segment customers, organize documents and explore data.