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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.util.Collection;

/**
 * Interface for points that can be clustered together.
 * @param  the type of point 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.Clusterable} instead
 */
@Deprecated
public interface Clusterable {

    /**
     * Returns the distance from the given point.
     *
     * @param p the point to compute the distance from
     * @return the distance from the given point
     */
    double distanceFrom(T p);

    /**
     * Returns the centroid of the given Collection of points.
     *
     * @param p the Collection of points to compute the centroid of
     * @return the centroid of the given Collection of Points
     */
    T centroidOf(Collection p);

}




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