ClusterMetric

ClusterMetric[{list₁, list₂, ...}] returns a global scalar measure of the clusters given by lists list₁, list₂, ....

The default option DistanceFunction → EuclideanDistance selects the Euclidean measure of distance between points. Other common distance functions include ManhattanDistance, ChebyshevDistance, CanberraDistance, and MinkowskiDistance.

See also User's Guide 7.5 and the tutorial Partitioning Data into Clusters.

Modified in Version 2.2.

Example

This loads the package.

In[1]:=

This defines three centroids.

In[2]:=

This generates some cluster data.

In[3]:=

This returns two different scalar measures of the data distribution.

In[5]:=

Out[5]=

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