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Diffstat (limited to 'src/de/lmu/ifi/dbs/elki/visualization/opticsplot/OPTICSCorrelationDimensionalityDistanceAdapter.java')
-rw-r--r-- | src/de/lmu/ifi/dbs/elki/visualization/opticsplot/OPTICSCorrelationDimensionalityDistanceAdapter.java | 53 |
1 files changed, 53 insertions, 0 deletions
diff --git a/src/de/lmu/ifi/dbs/elki/visualization/opticsplot/OPTICSCorrelationDimensionalityDistanceAdapter.java b/src/de/lmu/ifi/dbs/elki/visualization/opticsplot/OPTICSCorrelationDimensionalityDistanceAdapter.java new file mode 100644 index 00000000..1b12db86 --- /dev/null +++ b/src/de/lmu/ifi/dbs/elki/visualization/opticsplot/OPTICSCorrelationDimensionalityDistanceAdapter.java @@ -0,0 +1,53 @@ +package de.lmu.ifi.dbs.elki.visualization.opticsplot; + +/* + This file is part of ELKI: + Environment for Developing KDD-Applications Supported by Index-Structures + + Copyright (C) 2014 + 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.clustering.optics.CorrelationClusterOrderEntry; + +/** + * Adapter that will map a correlation distance to its dimensionality. + * + * @author Erich Schubert + */ +public class OPTICSCorrelationDimensionalityDistanceAdapter implements OPTICSDistanceAdapter<CorrelationClusterOrderEntry<?>> { + /** + * Default constructor. + */ + public OPTICSCorrelationDimensionalityDistanceAdapter() { + super(); + } + + @Override + public double getDoubleForEntry(CorrelationClusterOrderEntry<?> coe) { + if(coe.getCorrelationValue() == Integer.MAX_VALUE) { + return Double.POSITIVE_INFINITY; + } + return coe.getCorrelationValue(); + } + + @Override + public boolean isInfinite(CorrelationClusterOrderEntry<?> coe) { + return coe.getCorrelationValue() == Integer.MAX_VALUE; + } +}
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