Uses of Interface
org.apache.mahout.clustering.Cluster

Packages that use Cluster
org.apache.mahout.clustering  
org.apache.mahout.clustering.canopy   
org.apache.mahout.clustering.dirichlet   
org.apache.mahout.clustering.dirichlet.models   
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 Cluster in org.apache.mahout.clustering
 

Classes in org.apache.mahout.clustering that implement Cluster
 class AbstractCluster
           
 class DistanceMeasureCluster
           
 

Methods in org.apache.mahout.clustering that return types with arguments of type Cluster
 List<Cluster> ClusterClassifier.getModels()
           
 

Method parameters in org.apache.mahout.clustering with type arguments of type Cluster
protected  void CIReducer.reduce(org.apache.hadoop.io.IntWritable key, Iterable<Cluster> values, org.apache.hadoop.mapreduce.Reducer.Context context)
           
 

Constructor parameters in org.apache.mahout.clustering with type arguments of type Cluster
ClusterClassifier(List<Cluster> models)
          The public constructor accepts a list of clusters to become the models
 

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

Classes in org.apache.mahout.clustering.canopy that implement Cluster
 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 Cluster in org.apache.mahout.clustering.dirichlet
 

Classes in org.apache.mahout.clustering.dirichlet that implement Cluster
 class DirichletCluster
           
 

Methods in org.apache.mahout.clustering.dirichlet that return Cluster
 Cluster DirichletCluster.getModel()
           
 Cluster[] DirichletReducer.getNewModels()
           
static Cluster DirichletCluster.readModel(DataInput in)
          Reads a typed Model instance from the input stream
 

Methods in org.apache.mahout.clustering.dirichlet with parameters of type Cluster
 void DirichletCluster.setModel(Cluster model)
           
 void DirichletState.update(Cluster[] newModels)
          Update the receiver with the new models
protected  DirichletCluster DirichletClusterer.updateCluster(Cluster model, int k)
           
protected  void DirichletClusterer.updateModels(Cluster[] newModels)
           
 

Constructors in org.apache.mahout.clustering.dirichlet with parameters of type Cluster
DirichletCluster(Cluster model)
           
DirichletCluster(Cluster model, double totalCount)
           
 

Uses of Cluster in org.apache.mahout.clustering.dirichlet.models
 

Classes in org.apache.mahout.clustering.dirichlet.models that implement Cluster
 class GaussianCluster
           
 

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

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

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

Classes in org.apache.mahout.clustering.kmeans that implement Cluster
 class Cluster
           
 

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

Classes in org.apache.mahout.clustering.meanshift that implement Cluster
 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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