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package de.lmu.ifi.dbs.elki.algorithm.statistics;
/*
This file is part of ELKI:
Environment for Developing KDD-Applications Supported by Index-Structures
Copyright (C) 2015
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 de.lmu.ifi.dbs.elki.algorithm.Algorithm;
import de.lmu.ifi.dbs.elki.data.NumberVector;
import de.lmu.ifi.dbs.elki.data.type.TypeInformation;
import de.lmu.ifi.dbs.elki.data.type.TypeUtil;
import de.lmu.ifi.dbs.elki.database.Database;
import de.lmu.ifi.dbs.elki.database.ids.DBIDIter;
import de.lmu.ifi.dbs.elki.database.relation.Relation;
import de.lmu.ifi.dbs.elki.database.relation.RelationUtil;
import de.lmu.ifi.dbs.elki.math.DoubleMinMax;
import de.lmu.ifi.dbs.elki.math.scales.LinearScale;
import de.lmu.ifi.dbs.elki.result.Result;
import de.lmu.ifi.dbs.elki.result.ResultUtil;
import de.lmu.ifi.dbs.elki.result.ScalesResult;
import de.lmu.ifi.dbs.elki.utilities.documentation.Description;
import de.lmu.ifi.dbs.elki.utilities.optionhandling.AbstractParameterizer;
import de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID;
import de.lmu.ifi.dbs.elki.utilities.optionhandling.constraints.ListSizeConstraint;
import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.Parameterization;
import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameters.DoubleListParameter;
/**
* Pseudo "algorithm" that computes the global min/max for a relation across all
* attributes.
*
* FIXME: this should become part of relation metadata.
*
* @author Erich Schubert
* @since 0.5.0
*/
@Description("Setup a scaling so that all dimensions are scaled equally in visualization.")
public class AddSingleScale implements Algorithm {
/**
* Minimum and maximum to use.
*/
double[] minmax = null;
/**
* Constructor.
*
* @param minmax Minimum and maximum values
*/
public AddSingleScale(double[] minmax) {
super();
this.minmax = minmax;
}
@SuppressWarnings("unchecked")
@Override
public Result run(Database database) {
for(Relation<?> rel : database.getRelations()) {
if(TypeUtil.NUMBER_VECTOR_FIELD.isAssignableFromType(rel.getDataTypeInformation())) {
ScalesResult res = run((Relation<? extends NumberVector>) rel);
ResultUtil.addChildResult(rel, res);
}
}
return null;
}
/**
* Add scales to a single vector relation.
*
* @param rel Relation
* @return Scales
*/
private ScalesResult run(Relation<? extends NumberVector> rel) {
final int dim = RelationUtil.dimensionality(rel);
LinearScale[] scales = new LinearScale[dim];
if(minmax == null) {
DoubleMinMax mm = new DoubleMinMax();
for(DBIDIter iditer = rel.iterDBIDs(); iditer.valid(); iditer.advance()) {
NumberVector vec = rel.get(iditer);
for(int d = 0; d < dim; d++) {
final double val = vec.doubleValue(d);
if(val != val) {
continue; // NaN
}
mm.put(val);
}
}
LinearScale scale = new LinearScale(mm.getMin(), mm.getMax());
for(int i = 0; i < dim; i++) {
scales[i] = scale;
}
}
else {
// Use predefined.
LinearScale scale = new LinearScale(minmax[0], minmax[1]);
for(int i = 0; i < dim; i++) {
scales[i] = scale;
}
}
ScalesResult res = new ScalesResult(scales);
return res;
}
@Override
public TypeInformation[] getInputTypeRestriction() {
return TypeUtil.array(TypeUtil.NUMBER_VECTOR_FIELD);
}
/**
* Parameterization class.
*
* @author Erich Schubert
*
* @apiviz.exclude
*/
public static class Parameterizer extends AbstractParameterizer {
/**
* Minimum and maximum values.
*/
public static final OptionID MINMAX_ID = new OptionID("scales.minmax", "Forcibly set the scales to the given range.");
/**
* Minimum and maximum to use.
*/
double[] minmax = null;
@Override
protected void makeOptions(Parameterization config) {
super.makeOptions(config);
DoubleListParameter minmaxP = new DoubleListParameter(MINMAX_ID) //
.setOptional(true) //
.addConstraint(new ListSizeConstraint(2));
if(config.grab(minmaxP)) {
minmax = minmaxP.getValue().clone();
}
}
@Override
protected AddSingleScale makeInstance() {
return new AddSingleScale(minmax);
}
}
}
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