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/*
* File: FixedClusterInitializer.java
* Authors: Justin Basilico and Kevin R. Dixon
* Company: Sandia National Laboratories
* Project: Cognitive Foundry
*
* Copyright February 21, 2006, Sandia Corporation. Under the terms of Contract
* DE-AC04-94AL85000, there is a non-exclusive license for use of this work by
* or on behalf of the U.S. Government. Export of this program may require a
* license from the United States Government. See CopyrightHistory.txt for
* complete details.
*
*/
package gov.sandia.cognition.learning.algorithm.clustering.initializer;
import gov.sandia.cognition.annotation.CodeReview;
import gov.sandia.cognition.learning.algorithm.clustering.cluster.Cluster;
import gov.sandia.cognition.util.CloneableSerializable;
import java.io.Serializable;
import java.util.ArrayList;
import java.util.Collection;
/**
* The FixedClusterInitializer interface defines the functionality of a class
* that can initialize a given number of clusters from a set of elements.
* Such an initializer is used in some clustering algorithms to provide the
* starting clusters for the algorithm.
*
* @param Type of {@code Cluster} used in the
* {@code learn()} method.
* @param The algorithm operates on a {@code Collection},
* so {@code DataType} will be something like Vector or String
* @author Justin Basilico
* @author Kevin R. Dixon
* @since 1.0
*/
@CodeReview(
reviewer="Kevin R. Dixon",
date="2008-07-23",
changesNeeded=false,
comments={
"Cleaned up javadoc a little bit with code annotations.",
"Otherwise, looks fine."
}
)
public interface FixedClusterInitializer, DataType>
{
/**
* Initializes a given number of clusters from the given elements.
*
* @param numClusters The number of clusters to create.
* @param elements The elements to create the clusters from.
* @return The initial clusters to use.
* @throws IllegalArgumentException If numClusters is less than 0.
* @throws NullPointerException If elements is null.
*/
public ArrayList initializeClusters(
int numClusters,
Collection extends DataType> elements);
}