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package de.lmu.ifi.dbs.elki.datasource.filter.normalization;
/*
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.data.NumberVector;
import de.lmu.ifi.dbs.elki.data.type.SimpleTypeInformation;
import de.lmu.ifi.dbs.elki.datasource.filter.AbstractVectorStreamConversionFilter;
import de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem;
/**
* Abstract super class for all normalizations.
*
* @author Erich Schubert
*
* @param <V> Object type processed
*/
public abstract class AbstractStreamNormalization<V extends NumberVector> extends AbstractVectorStreamConversionFilter<V, V> implements Normalization<V> {
/**
* Initializes the option handler and the parameter map.
*/
protected AbstractStreamNormalization() {
super();
}
@Override
protected SimpleTypeInformation<? super V> convertedType(SimpleTypeInformation<V> in) {
initializeOutputType(in);
return in;
}
@Override
public V restore(V featureVector) {
throw new UnsupportedOperationException();
}
@Override
public LinearEquationSystem transform(LinearEquationSystem linearEquationSystem) {
// FIXME: implement.
throw new UnsupportedOperationException("Not yet implemented!");
}
@Override
public String toString() {
StringBuilder result = new StringBuilder();
result.append("normalization class: ").append(getClass().getName());
return result.toString();
}
}
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