Category:Data clustering: Difference between revisions

Given a set of data points, group them into a clusters so that points within each cluster are similar to each other, and points from different clusters are dissimilar Usually, points are in a high-­dimensional space, and similarity is defined using a distance measure, such as Euclidean, Cosine, Jaccard.

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