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Diffstat (limited to 'src/de/lmu/ifi/dbs/elki/algorithm/clustering/kmeans/KMedoidsInitialization.java')
-rw-r--r-- | src/de/lmu/ifi/dbs/elki/algorithm/clustering/kmeans/KMedoidsInitialization.java | 45 |
1 files changed, 45 insertions, 0 deletions
diff --git a/src/de/lmu/ifi/dbs/elki/algorithm/clustering/kmeans/KMedoidsInitialization.java b/src/de/lmu/ifi/dbs/elki/algorithm/clustering/kmeans/KMedoidsInitialization.java new file mode 100644 index 00000000..269e7e9e --- /dev/null +++ b/src/de/lmu/ifi/dbs/elki/algorithm/clustering/kmeans/KMedoidsInitialization.java @@ -0,0 +1,45 @@ +package de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans; +/* + This file is part of ELKI: + Environment for Developing KDD-Applications Supported by Index-Structures + + Copyright (C) 2012 + 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.database.ids.DBIDs; +import de.lmu.ifi.dbs.elki.database.query.distance.DistanceQuery; + +/** + * Interface for initializing K-Medoids. In contrast to k-means initializers, + * this initialization will only return members of the original data set. + * + * @author Erich Schubert + * + * @param <V> Object type + */ +public interface KMedoidsInitialization<V> { + /** + * Choose initial means + * + * @param k Parameter k + * @param distanceFunction Distance function + * @return List of chosen means for k-means + */ + public abstract DBIDs chooseInitialMedoids(int k, DistanceQuery<? super V, ?> distanceFunction); +}
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