Cluster analysis

task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters) From Wikipedia, the free encyclopedia

Cluster analysis
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Cluster analysis or clustering is a way of comparing data by splitting it into groups of similar data points. These groups are called clusters.

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Different results of cluster analysis on an artificial dataset (called "Mouse")

There are many algorithms to put data into clusters. Clustering algorithms can use different ways of measuring similarity between data points.[1] As a result, different clustering algorithms can get different clusters on the same data.

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