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A Java's Collaborative Filtering library to carry out experiments in research of Collaborative Filtering based Recommender Systems. The library has been designed from researchers to researchers.

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/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You 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.apache.commons.math3.stat.clustering;

import java.io.Serializable;
import java.util.ArrayList;
import java.util.List;

/**
 * Cluster holding a set of {@link Clusterable} points.
 * @param  the type of points that can be clustered
 * @since 2.0
 * @deprecated As of 3.2 (to be removed in 4.0),
 * use {@link org.apache.commons.math3.ml.clustering.Cluster} instead
 */
@Deprecated
public class Cluster> implements Serializable {

    /** Serializable version identifier. */
    private static final long serialVersionUID = -3442297081515880464L;

    /** The points contained in this cluster. */
    private final List points;

    /** Center of the cluster. */
    private final T center;

    /**
     * Build a cluster centered at a specified point.
     * @param center the point which is to be the center of this cluster
     */
    public Cluster(final T center) {
        this.center = center;
        points = new ArrayList();
    }

    /**
     * Add a point to this cluster.
     * @param point point to add
     */
    public void addPoint(final T point) {
        points.add(point);
    }

    /**
     * Get the points contained in the cluster.
     * @return points contained in the cluster
     */
    public List getPoints() {
        return points;
    }

    /**
     * Get the point chosen to be the center of this cluster.
     * @return chosen cluster center
     */
    public T getCenter() {
        return center;
    }

}