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k-means clustering
With no labels at all, find k groups by giving each point to its nearest centre, moving each centre to the mean of its points, and repeating until nothing changes.
Classical machine learning
Without labels, a model can still find groups and directions in data. This topic clusters points with k-means, models them as a blend of bell-shaped clouds, and describes each example by a few numbers instead of many.
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