gov.sandia.cognition.learning.algorithm.clustering.initializer

Class RandomClusterInitializer<ClusterType extends Cluster<DataType>,DataType>

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.util.AbstractRandomized

gov.sandia.cognition.learning.algorithm.clustering.initializer.RandomClusterInitializer<ClusterType,DataType>

Type Parameters:

ClusterType - Type of Cluster used in this learn() method.

DataType - The algorithm operates on a Collection, so DataType will be something like Vector or String.

All Implemented Interfaces:

FixedClusterInitializer<ClusterType,DataType>, CloneableSerializable, Randomized, java.io.Serializable, java.lang.Cloneable

public class RandomClusterInitializer<ClusterType extends Cluster<DataType>,DataType>
extends AbstractRandomized
implements FixedClusterInitializer<ClusterType,DataType>

Creates initial clusters by selecting random data points as singleton clusters.

Since:

4.0.0

Author:

Jeff Piersol

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected ClusterCreator<ClusterType,DataType>	creator The creator for new clusters.

Fields inherited from class gov.sandia.cognition.util.AbstractRandomized

random

Constructor Summary

Constructors

Constructor and Description
RandomClusterInitializer(ClusterCreator<ClusterType,DataType> creator, java.util.Random random) Creates a new random cluster creator.

Method Summary

Modifier and Type	Method and Description
RandomClusterInitializer<ClusterType,DataType>	clone() This makes public the clone method on the Object class and removes the exception that it throws.
java.util.ArrayList<ClusterType>	initializeClusters(int numClusters, java.util.Collection<? extends DataType> elements) Initializes a given number of clusters from the given elements.

Methods inherited from class gov.sandia.cognition.util.AbstractRandomized

getRandom, setRandom

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

creator

protected ClusterCreator<ClusterType extends Cluster<DataType>,DataType> creator

The creator for new clusters.

Constructor Detail

RandomClusterInitializer

public RandomClusterInitializer(ClusterCreator<ClusterType,DataType> creator,
                                java.util.Random random)

Creates a new random cluster creator.

Parameters:

creator - the cluster creator to use

random - the random number generator to use

Method Detail

clone

public RandomClusterInitializer<ClusterType,DataType> clone()

Description copied from class: AbstractCloneableSerializable

This makes public the clone method on the Object class and removes the exception that it throws. Its default behavior is to automatically create a clone of the exact type of object that the clone is called on and to copy all primitives but to keep all references, which means it is a shallow copy. Extensions of this class may want to override this method (but call super.clone() to implement a "smart copy". That is, to target the most common use case for creating a copy of the object. Because of the default behavior being a shallow copy, extending classes only need to handle fields that need to have a deeper copy (or those that need to be reset). Some of the methods in ObjectUtil may be helpful in implementing a custom clone method. Note: The contract of this method is that you must use super.clone() as the basis for your implementation.

Specified by:

clone in interface CloneableSerializable

Overrides:

clone in class AbstractRandomized

Returns:

A clone of this object.

initializeClusters

public java.util.ArrayList<ClusterType> initializeClusters(int numClusters,
                                                           java.util.Collection<? extends DataType> elements)

Description copied from interface: FixedClusterInitializer

Initializes a given number of clusters from the given elements.

Specified by:

initializeClusters in interface FixedClusterInitializer<ClusterType extends Cluster<DataType>,DataType>

Parameters:

numClusters - The number of clusters to create.

elements - The elements to create the clusters from.

Returns:

The initial clusters to use.