Data clustering is the process of placing data items into groups so that similar items are in the same group (cluster) and dissimilar items are in different groups. After a data set has been clustered, it can be examined to find interesting patterns. For example, a data set of sales transactions might be clustered and then inspected to see if there are differences between the shopping patterns of men and women.
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