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diff --git a/src/de/lmu/ifi/dbs/elki/distance/distancevalue/PCACorrelationDistance.java b/src/de/lmu/ifi/dbs/elki/distance/distancevalue/PCACorrelationDistance.java
deleted file mode 100644
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--- a/src/de/lmu/ifi/dbs/elki/distance/distancevalue/PCACorrelationDistance.java
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-package de.lmu.ifi.dbs.elki.distance.distancevalue;
-
-/*
- This file is part of ELKI:
- Environment for Developing KDD-Applications Supported by Index-Structures
-
- Copyright (C) 2013
- 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.util.regex.Pattern;
-
-import de.lmu.ifi.dbs.elki.utilities.FormatUtil;
-
-
-/**
- * The correlation distance is a special Distance that indicates the
- * dissimilarity between correlation connected objects. The correlation distance
- * between two points is a pair consisting of the correlation dimension of two
- * points and the euclidean distance between the two points.
- *
- * @author Elke Achtert
- */
-public class PCACorrelationDistance extends CorrelationDistance<PCACorrelationDistance> {
- /**
- * The static factory instance
- */
- public static final PCACorrelationDistance FACTORY = new PCACorrelationDistance();
-
- /**
- * Serial
- */
- private static final long serialVersionUID = 1L;
-
- /**
- * Empty constructor for serialization purposes.
- */
- public PCACorrelationDistance() {
- // for serialization
- }
-
- /**
- * Constructs a new CorrelationDistance object consisting of the specified
- * correlation value and euclidean value.
- *
- * @param correlationValue the correlation dimension to be represented by the
- * CorrelationDistance
- * @param euclideanValue the euclidean distance to be represented by the
- * CorrelationDistance
- */
- public PCACorrelationDistance(int correlationValue, double euclideanValue) {
- super(correlationValue, euclideanValue);
- }
-
- /**
- * Provides a distance suitable to this DistanceFunction based on the given
- * pattern.
- *
- * @param val A pattern defining a distance suitable to this
- * DistanceFunction
- * @return a distance suitable to this DistanceFunction based on the given
- * pattern
- * @throws IllegalArgumentException if the given pattern is not compatible
- * with the requirements of this DistanceFunction
- */
- @Override
- public PCACorrelationDistance parseString(String val) throws IllegalArgumentException {
- if(val.equals(INFINITY_PATTERN)) {
- return infiniteDistance();
- }
- if(testInputPattern(val)) {
- String[] values = SEPARATOR.split(val);
- return new PCACorrelationDistance(Integer.parseInt(values[0]), FormatUtil.parseDouble(values[1]));
- }
- else {
- throw new IllegalArgumentException("Given pattern \"" + val + "\" does not match required pattern \"" + requiredInputPattern() + "\"");
- }
- }
-
- @Override
- public Pattern getPattern() {
- return CORRELATION_DISTANCE_PATTERN;
- }
-
- /**
- * Provides an infinite distance.
- *
- * @return an infinite distance
- */
- @Override
- public PCACorrelationDistance infiniteDistance() {
- return new PCACorrelationDistance(Integer.MAX_VALUE, Double.POSITIVE_INFINITY);
- }
-
- /**
- * Provides a null distance.
- *
- * @return a null distance
- */
- @Override
- public PCACorrelationDistance nullDistance() {
- return new PCACorrelationDistance(0, 0.0);
- }
-
- /**
- * Provides an undefined distance.
- *
- * @return an undefined distance
- */
- @Override
- public PCACorrelationDistance undefinedDistance() {
- return new PCACorrelationDistance(-1, Double.NaN);
- }
-
- @Override
- public boolean isInfiniteDistance() {
- return correlationValue == Integer.MAX_VALUE || euclideanValue == Double.POSITIVE_INFINITY;
- }
-
- @Override
- public boolean isNullDistance() {
- return correlationValue == 0 || euclideanValue == 0.0;
- }
-
- @Override
- public boolean isUndefinedDistance() {
- return correlationValue == -1 && Double.isNaN(euclideanValue);
- }
-} \ No newline at end of file