## Uses of Class
org.apache.mahout.clustering.DistanceMeasureCluster

Packages that use DistanceMeasureCluster
org.apache.mahout.clustering.canopy
org.apache.mahout.clustering.fuzzykmeans
org.apache.mahout.clustering.kmeans: This package provides an implementation of the k-means clustering algorithm.
org.apache.mahout.clustering.meanshift

Uses of DistanceMeasureCluster in org.apache.mahout.clustering.canopy

Subclasses of DistanceMeasureCluster in org.apache.mahout.clustering.canopy
`class` `Canopy` This class models a canopy as a center point, the number of points that are contained within it according to the application of some distance metric, and a point total which is the sum of all the points and is used to compute the centroid when needed.

Uses of DistanceMeasureCluster in org.apache.mahout.clustering.fuzzykmeans

Subclasses of DistanceMeasureCluster in org.apache.mahout.clustering.fuzzykmeans
`class` `SoftCluster`

Uses of DistanceMeasureCluster in org.apache.mahout.clustering.kmeans

Subclasses of DistanceMeasureCluster in org.apache.mahout.clustering.kmeans
`class` `Cluster`

Uses of DistanceMeasureCluster in org.apache.mahout.clustering.meanshift

Subclasses of DistanceMeasureCluster in org.apache.mahout.clustering.meanshift
`class` `MeanShiftCanopy` This class models a canopy as a center point, the number of points that are contained within it according to the application of some distance metric, and a point total which is the sum of all the points and is used to compute the centroid when needed.

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