## Uses of Interface
org.apache.mahout.clustering.iterator.ClusteringPolicy

Packages that use ClusteringPolicy
org.apache.mahout.clustering.classify
org.apache.mahout.clustering.iterator

Uses of ClusteringPolicy in org.apache.mahout.clustering.classify

Methods in org.apache.mahout.clustering.classify that return ClusteringPolicy
`ClusteringPolicy` `ClusterClassifier.getPolicy()`
`static ClusteringPolicy` `ClusterClassifier.readPolicy(org.apache.hadoop.fs.Path path)`

Methods in org.apache.mahout.clustering.classify with parameters of type ClusteringPolicy
`static void` `ClusterClassifier.writePolicy(ClusteringPolicy policy, org.apache.hadoop.fs.Path path)`

Constructors in org.apache.mahout.clustering.classify with parameters of type ClusteringPolicy
`ClusterClassifier(ClusteringPolicy policy)`
`ClusterClassifier(List<Cluster> models, ClusteringPolicy policy)` The public constructor accepts a list of clusters to become the models

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

Classes in org.apache.mahout.clustering.iterator that implement ClusteringPolicy
`class` `AbstractClusteringPolicy`
`class` `CanopyClusteringPolicy` This is a simple maximum likelihood clustering policy, suitable for k-means clustering
`class` `FuzzyKMeansClusteringPolicy` This is a probability-weighted clustering policy, suitable for fuzzy k-means clustering
`class` `KMeansClusteringPolicy` This is a simple maximum likelihood clustering policy, suitable for k-means clustering

Methods in org.apache.mahout.clustering.iterator that return ClusteringPolicy
`ClusteringPolicy` `ClusteringPolicyWritable.getValue()`

Methods in org.apache.mahout.clustering.iterator with parameters of type ClusteringPolicy
`void` `ClusteringPolicyWritable.setValue(ClusteringPolicy value)`

Constructors in org.apache.mahout.clustering.iterator with parameters of type ClusteringPolicy
`ClusteringPolicyWritable(ClusteringPolicy policy)`

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