## Uses of Interface
org.apache.mahout.clustering.Model

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

Uses of Model in org.apache.mahout.clustering

Subinterfaces of Model in org.apache.mahout.clustering
`interface` `Cluster` Implementations of this interface have a printable representation and certain attributes that are common across all clustering implementations

Classes in org.apache.mahout.clustering that implement Model
`class` `AbstractCluster`

Methods in org.apache.mahout.clustering that return Model
`Model<VectorWritable>` `Model.sampleFromPosterior()`
`Model<O>[]` `ModelDistribution.sampleFromPosterior(Model<O>[] posterior)` Return a list of models sampled from the posterior
`Model<O>[]` `ModelDistribution.sampleFromPrior(int howMany)` Return a list of models sampled from the prior

Methods in org.apache.mahout.clustering with parameters of type Model
`void` `Model.observe(Model<O> x)` Observe the given model, retaining information about its observations
`void` `AbstractCluster.observe(Model<VectorWritable> x)`
`Model<O>[]` `ModelDistribution.sampleFromPosterior(Model<O>[] posterior)` Return a list of models sampled from the posterior

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

Classes in org.apache.mahout.clustering.canopy that implement Model
`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 Model in org.apache.mahout.clustering.fuzzykmeans

Classes in org.apache.mahout.clustering.fuzzykmeans that implement Model
`class` `SoftCluster`

Uses of Model in org.apache.mahout.clustering.iterator

Classes in org.apache.mahout.clustering.iterator that implement Model
`class` `DistanceMeasureCluster`

Methods in org.apache.mahout.clustering.iterator that return Model
`Model<VectorWritable>` `DistanceMeasureCluster.sampleFromPosterior()`

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

Classes in org.apache.mahout.clustering.kmeans that implement Model
`class` `Kluster`

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