Uses of Package
org.apache.mahout.clustering

Packages that use org.apache.mahout.clustering
org.apache.mahout.clustering This package provides several clustering algorithm implementations. 
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   
 

Classes in org.apache.mahout.clustering used by org.apache.mahout.clustering
AbstractCluster
           
Cluster
          Implementations of this interface have a printable representation and certain attributes that are common across all clustering implementations
ClusterObservations
           
GaussianAccumulator
           
Model
          A model is a probability distribution over observed data points and allows the probability of any data point to be computed.
ModelDistribution
          A model distribution allows us to sample a model from its prior distribution.
 

Classes in org.apache.mahout.clustering used by org.apache.mahout.clustering.canopy
AbstractCluster
           
Cluster
          Implementations of this interface have a printable representation and certain attributes that are common across all clustering implementations
DistanceMeasureCluster
           
Model
          A model is a probability distribution over observed data points and allows the probability of any data point to be computed.
 

Classes in org.apache.mahout.clustering used by org.apache.mahout.clustering.dirichlet
Cluster
          Implementations of this interface have a printable representation and certain attributes that are common across all clustering implementations
Model
          A model is a probability distribution over observed data points and allows the probability of any data point to be computed.
ModelDistribution
          A model distribution allows us to sample a model from its prior distribution.
 

Classes in org.apache.mahout.clustering used by org.apache.mahout.clustering.dirichlet.models
AbstractCluster
           
Cluster
          Implementations of this interface have a printable representation and certain attributes that are common across all clustering implementations
Model
          A model is a probability distribution over observed data points and allows the probability of any data point to be computed.
ModelDistribution
          A model distribution allows us to sample a model from its prior distribution.
 

Classes in org.apache.mahout.clustering used by org.apache.mahout.clustering.fuzzykmeans
AbstractCluster
           
Cluster
          Implementations of this interface have a printable representation and certain attributes that are common across all clustering implementations
ClusterObservations
           
DistanceMeasureCluster
           
Model
          A model is a probability distribution over observed data points and allows the probability of any data point to be computed.
 

Classes in org.apache.mahout.clustering used by org.apache.mahout.clustering.kmeans
AbstractCluster
           
Cluster
          Implementations of this interface have a printable representation and certain attributes that are common across all clustering implementations
ClusterObservations
           
DistanceMeasureCluster
           
 

Classes in org.apache.mahout.clustering used by org.apache.mahout.clustering.meanshift
AbstractCluster
           
Cluster
          Implementations of this interface have a printable representation and certain attributes that are common across all clustering implementations
DistanceMeasureCluster
           
Model
          A model is a probability distribution over observed data points and allows the probability of any data point to be computed.
 



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