# Category:Data clustering

From jWork.ORG

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.

Read : Cluster analysis

## Pages in category "Data clustering"

This category contains only the following page.