/* * 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; import java.util.List; import org.encog.ml.data.MLData; import org.encog.ml.data.MLDataSet; /** * Defines a cluster. Usually used with the MLClustering method to break input * into clusters. */ public interface MLCluster { /** * Add data to this cluster. * @param pair The data to add. */ void add(final MLData pair); /** * Create a machine learning dataset from the data. * @return A dataset. */ MLDataSet createDataSet(); /** * Get the specified data item by index. * @param pos The index of the data item to get. * @return The data item. */ MLData get(final int pos); /** * @return The data in this cluster. */ List<MLData> getData(); /** * Remove the specified item. * @param data The item to remove. */ void remove(final MLData data); /** * @return The number of items. */ int size(); }