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SimilarityMeasure.java
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65 lines (57 loc) · 2.63 KB
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/*-
* #%L
* mastodon-deep-lineage
* %%
* Copyright (C) 2022 - 2023 Stefan Hahmann
* %%
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* 1. Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
* 2. Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
* ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR CONTRIBUTORS BE
* LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
* CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
* SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
* INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
* CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
* ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
* POSSIBILITY OF SUCH DAMAGE.
* #L%
*/
package org.mastodon.mamut.clustering.config;
import org.apache.commons.lang3.function.TriFunction;
import org.mastodon.mamut.treesimilarity.ZhangUnorderedTreeEditDistance;
import org.mastodon.mamut.treesimilarity.tree.Tree;
import java.util.function.BiFunction;
import java.util.function.BinaryOperator;
public enum SimilarityMeasure
{
NORMALIZED_DIFFERENCE( "Normalized Zhang Tree Distance", ZhangUnorderedTreeEditDistance::normalizedDistance ),
AVERAGE_DIFFERENCE_PER_CELL_LIFE_CYCLE( "Per Branch Spot Zhang Tree Distance", ZhangUnorderedTreeEditDistance::averageDistance ),
ABSOLUTE_DIFFERENCE( "Zhang Tree Distance", ZhangUnorderedTreeEditDistance::distance );
private final String name;
private final TriFunction< Tree< Double >, Tree< Double >, BiFunction< Double, Double, Double >, Double > distanceFunction;
SimilarityMeasure( String name,
TriFunction< Tree< Double >, Tree< Double >, BiFunction< Double, Double, Double >, Double > distanceFunction )
{
this.name = name;
this.distanceFunction = distanceFunction;
}
public double compute( Tree< Double > tree1, Tree< Double > tree2, BinaryOperator< Double > costFunction )
{
return distanceFunction.apply( tree1, tree2, costFunction );
}
@Override
public String toString()
{
return name;
}
}