/*
 * Encog(tm) Core v3.4 - Java Version
 * http://www.heatonresearch.com/encog/
 * https://github.com/encog/encog-java-core
 
 * Copyright 2008-2016 Heaton Research, 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.
 *   
 * For more information on Heaton Research copyrights, licenses 
 * and trademarks visit:
 * http://www.heatonresearch.com/copyright
 */
package org.encog.ml.data.basic;

import org.encog.mathutil.ComplexNumber;
import org.encog.ml.data.MLComplexData;
import org.encog.ml.data.MLData;
import org.encog.util.kmeans.Centroid;

/**
 * This class implements a data object that can hold complex numbers.  It 
 * implements the interface MLData, so it can be used with nearly any Encog 
 * machine learning method.  However, not all Encog machine learning methods 
 * are designed to work with complex numbers.  A Encog machine learning method 
 * that does not support complex numbers will only be dealing with the 
 * real-number portion of the complex number. 
 */
public class BasicMLComplexData implements MLComplexData {

	/**
	 * The data held by this object.
	 */
	private ComplexNumber[] data;

	/**
	 * Construct this object with the specified data.  Use only real numbers.
	 *
	 * @param d
	 *            The data to construct this object with.
	 */
	public BasicMLComplexData(final double[] d) {
		this(d.length);
		for(int i=0;i createCentroid() {
		return null;
	}
}