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Scalable machine learning libraries
/**
* 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.iterator.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.
*/
@Deprecated
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();
}
}
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