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Java example source code file (BaseClusteringStrategy.java)

This example Java source code file (BaseClusteringStrategy.java) is included in the alvinalexander.com "Java Source Code Warehouse" project. The intent of this project is to help you "Learn Java by Example" TM.

Learn more about this Java project at its project page.

Java - Java tags/keywords

baseclusteringstrategy, clusteringalgorithmcondition, clusteringstrategytype, integer, string

The BaseClusteringStrategy.java Java example source code

/*
 *
 *  * Copyright 2015 Skymind,Inc.
 *  *
 *  *    Licensed under the Apache License, Version 2.0 (the "License");
 *  *    you may not use this file except in compliance with the License.
 *  *    You may obtain a copy of the License at
 *  *
 *  *        http://www.apache.org/licenses/LICENSE-2.0
 *  *
 *  *    Unless required by applicable law or agreed to in writing, software
 *  *    distributed under the License is distributed on an "AS IS" BASIS,
 *  *    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 *  *    See the License for the specific language governing permissions and
 *  *    limitations under the License.
 *
 */

package org.deeplearning4j.clustering.algorithm.strategy;

import org.deeplearning4j.clustering.algorithm.condition.ClusteringAlgorithmCondition;
import org.deeplearning4j.clustering.algorithm.condition.ConvergenceCondition;
import org.deeplearning4j.clustering.algorithm.condition.FixedIterationCountCondition;

public abstract class BaseClusteringStrategy implements ClusteringStrategy {

	protected ClusteringStrategyType type;
	protected Integer initialClusterCount;
	protected ClusteringAlgorithmCondition optimizationPhaseCondition;
	protected ClusteringAlgorithmCondition terminationCondition;

	protected String	distanceFunction;

	protected boolean allowEmptyClusters;

	protected BaseClusteringStrategy(ClusteringStrategyType type, Integer initialClusterCount, String distanceFunction,
			boolean allowEmptyClusters) {
		super();
		this.type = type;
		this.initialClusterCount = initialClusterCount;
		this.distanceFunction = distanceFunction;
		this.allowEmptyClusters = allowEmptyClusters;
	}

	public BaseClusteringStrategy endWhenIterationCountEquals(int maxIterationCount) {
		setTerminationCondition(FixedIterationCountCondition.iterationCountGreaterThan(maxIterationCount));
		return this;
	}

	public BaseClusteringStrategy endWhenDistributionVariationRateLessThan(double rate) {
		setTerminationCondition(ConvergenceCondition.distributionVariationRateLessThan(rate));
		return this;
	}

	public boolean isStrategyOfType(ClusteringStrategyType type) {
		return type.equals(this.type);
	}

	public Integer getInitialClusterCount() {
		return initialClusterCount;
	}

	public void setInitialClusterCount(Integer clusterCount) {
		this.initialClusterCount = clusterCount;
	}

	public String getDistanceFunction() {
		return distanceFunction;
	}

	public void setDistanceFunction(String distanceFunction) {
		this.distanceFunction = distanceFunction;
	}

	public boolean isAllowEmptyClusters() {
		return allowEmptyClusters;
	}

	public void setAllowEmptyClusters(boolean allowEmptyClusters) {
		this.allowEmptyClusters = allowEmptyClusters;
	}

	public ClusteringStrategyType getType() {
		return type;
	}

	protected void setType(ClusteringStrategyType type) {
		this.type = type;
	}

	public ClusteringAlgorithmCondition getOptimizationPhaseCondition() {
		return optimizationPhaseCondition;
	}

	protected void setOptimizationPhaseCondition(ClusteringAlgorithmCondition optimizationPhaseCondition) {
		this.optimizationPhaseCondition = optimizationPhaseCondition;
	}

	public ClusteringAlgorithmCondition getTerminationCondition() {
		return terminationCondition;
	}

	protected void setTerminationCondition(ClusteringAlgorithmCondition terminationCondition) {
		this.terminationCondition = terminationCondition;
	}

}

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