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package de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp;
/*
This file is part of ELKI:
Environment for Developing KDD-Applications Supported by Index-Structures
Copyright (C) 2012
Ludwig-Maximilians-Universität München
Lehr- und Forschungseinheit für Datenbanksysteme
ELKI Development Team
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
import java.io.IOException;
import java.io.ObjectInput;
import java.io.ObjectOutput;
import de.lmu.ifi.dbs.elki.database.ids.DBID;
import de.lmu.ifi.dbs.elki.distance.distancevalue.NumberDistance;
import de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeLeafEntry;
/**
* Represents an entry in a leaf node of a MkApp-Tree. Additionally to an
* MTreeLeafEntry an MkAppLeafEntry holds the polynomial approximation of its
* knn-distances.
*
* @author Elke Achtert
*/
class MkAppLeafEntry<D extends NumberDistance<D, ?>> extends MTreeLeafEntry<D> implements MkAppEntry<D> {
/**
* Serial Version UID
*/
private static final long serialVersionUID = 1;
/**
* The polynomial approximation.
*/
private PolynomialApproximation approximation;
/**
* Empty constructor for serialization purposes.
*/
public MkAppLeafEntry() {
// empty constructor
}
/**
* Provides a new MkAppLeafEntry with the given parameters.
*
* @param objectID the id of the underlying data object
* @param parentDistance the distance from the underlying data object to its
* parent's routing object
* @param approximation the polynomial approximation of the knn distances
*/
public MkAppLeafEntry(DBID objectID, D parentDistance, PolynomialApproximation approximation) {
super(objectID, parentDistance);
this.approximation = approximation;
}
/**
* Returns the approximated value at the specified k.
*
* @param k the parameter k of the knn distance
* @return the approximated value at the specified k
*/
@Override
public double approximatedValueAt(int k) {
return approximation.getValueAt(k);
}
/**
* Returns the polynomial approximation.
*
* @return the polynomial approximation
*/
@Override
public PolynomialApproximation getKnnDistanceApproximation() {
return approximation;
}
/**
* Sets the polynomial approximation.
*
* @param approximation the polynomial approximation to be set
*/
@Override
public void setKnnDistanceApproximation(PolynomialApproximation approximation) {
this.approximation = approximation;
}
/**
* Calls the super method and writes the polynomiale approximation of the knn
* distances of this entry to the specified stream.
*
* @param out the stream to write the object to
* @throws java.io.IOException Includes any I/O exceptions that may occur
*/
@Override
public void writeExternal(ObjectOutput out) throws IOException {
super.writeExternal(out);
out.writeObject(approximation);
}
/**
* Calls the super method and reads the the polynomial approximation of the
* knn distances of this entry from the specified input stream.
*
* @param in the stream to read data from in order to restore the object
* @throws java.io.IOException if I/O errors occur
* @throws ClassNotFoundException If the class for an object being restored
* cannot be found.
*/
@Override
public void readExternal(ObjectInput in) throws IOException, ClassNotFoundException {
super.readExternal(in);
approximation = (PolynomialApproximation) in.readObject();
}
/**
* Returns a string representation of this entry.
*
* @return a string representation of this entry
*/
@Override
public String toString() {
return super.toString() + "\napprox " + approximation;
}
}
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