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package de.lmu.ifi.dbs.elki.datasource.filter;
/*
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 de.lmu.ifi.dbs.elki.data.SparseFloatVector;
import de.lmu.ifi.dbs.elki.data.type.SimpleTypeInformation;
import de.lmu.ifi.dbs.elki.data.type.TypeUtil;
import de.lmu.ifi.dbs.elki.data.type.VectorFieldTypeInformation;
import de.lmu.ifi.dbs.elki.utilities.Util;
import de.lmu.ifi.dbs.elki.utilities.optionhandling.parameterization.Parameterization;
/**
* <p>Parser to project the ParsingResult obtained by a suitable base parser
* onto a randomly selected subset of attributes.</p>
*
* @author Arthur Zimek
*/
public class SparseFloatVectorRandomProjectionFilter extends AbstractRandomFeatureSelectionFilter<SparseFloatVector> {
/**
* Constructor.
*
* @param dim
*/
public SparseFloatVectorRandomProjectionFilter(int dim) {
super(dim);
}
@Override
protected SparseFloatVector filterSingleObject(SparseFloatVector obj) {
return Util.project(obj, selectedAttributes);
}
@Override
protected SimpleTypeInformation<? super SparseFloatVector> getInputTypeRestriction() {
return TypeUtil.SPARSE_FLOAT_FIELD;
}
@Override
protected SimpleTypeInformation<? super SparseFloatVector> convertedType(SimpleTypeInformation<SparseFloatVector> in) {
initializeRandomAttributes(in);
return new VectorFieldTypeInformation<SparseFloatVector>(SparseFloatVector.class, k, new SparseFloatVector(SparseFloatVector.EMPTYMAP, k));
}
/**
* Parameterization class.
*
* @author Erich Schubert
*
* @apiviz.exclude
*/
public static class Parameterizer extends AbstractRandomFeatureSelectionFilter.Parameterizer<SparseFloatVector> {
@Override
protected void makeOptions(Parameterization config) {
super.makeOptions(config);
}
@Override
protected SparseFloatVectorRandomProjectionFilter makeInstance() {
return new SparseFloatVectorRandomProjectionFilter(k);
}
}
}
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