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package de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation;
/*
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.type.TypeInformation;
import de.lmu.ifi.dbs.elki.database.Database;
import de.lmu.ifi.dbs.elki.database.ids.ArrayDBIDs;
import de.lmu.ifi.dbs.elki.database.relation.Relation;
import de.lmu.ifi.dbs.elki.utilities.optionhandling.OptionID;
/**
* Initialization methods for affinity propagation.
*
* @author Erich Schubert
* @since 0.6.0
*/
public interface AffinityPropagationInitialization<O> {
/**
* Quantile to use for the diagonal entries.
*/
public static final OptionID QUANTILE_ID = new OptionID("ap.quantile", "Quantile to use for diagonal entries.");
/**
* Compute the initial similarity matrix.
*
* @param db Database
* @param relation Data relation
* @param ids indexed DBIDs
* @return Similarity matrix
*/
double[][] getSimilarityMatrix(Database db, Relation<O> relation, ArrayDBIDs ids);
/**
* Get the data type information for the similarity computations.
*
* @return Data type
*/
TypeInformation getInputTypeRestriction();
}
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