/** * 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.mahout.clustering.canopy; import org.apache.mahout.clustering.DistanceMeasureCluster; import org.apache.mahout.common.distance.DistanceMeasure; import org.apache.mahout.math.Vector; /** * This class models a canopy as a center point, the number of points that are contained within it according * to the application of some distance metric, and a point total which is the sum of all the points and is * used to compute the centroid when needed. */ public class Canopy extends DistanceMeasureCluster { /** Used for deserialization as a writable */ public Canopy() { } /** * Create a new Canopy containing the given point and canopyId * * @param center a point in vector space * @param canopyId an int identifying the canopy local to this process only * @param measure a DistanceMeasure to use */ public Canopy(Vector center, int canopyId, DistanceMeasure measure) { super(center, canopyId, measure); observe(center); } public String asFormatString() { return "C" + this.getId() + ": " + this.computeCentroid().asFormatString(); } @Override public String toString() { return getIdentifier() + ": " + getCenter().asFormatString(); } @Override public String getIdentifier() { return "C-" + getId(); } }