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Diffstat (limited to 'src/de/lmu/ifi/dbs/elki/algorithm/clustering/ClusteringAlgorithm.java')
-rw-r--r-- | src/de/lmu/ifi/dbs/elki/algorithm/clustering/ClusteringAlgorithm.java | 50 |
1 files changed, 50 insertions, 0 deletions
diff --git a/src/de/lmu/ifi/dbs/elki/algorithm/clustering/ClusteringAlgorithm.java b/src/de/lmu/ifi/dbs/elki/algorithm/clustering/ClusteringAlgorithm.java new file mode 100644 index 00000000..deac96ed --- /dev/null +++ b/src/de/lmu/ifi/dbs/elki/algorithm/clustering/ClusteringAlgorithm.java @@ -0,0 +1,50 @@ +package de.lmu.ifi.dbs.elki.algorithm.clustering; +/* +This file is part of ELKI: +Environment for Developing KDD-Applications Supported by Index-Structures + +Copyright (C) 2011 +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.Algorithm; +import de.lmu.ifi.dbs.elki.data.Clustering; +import de.lmu.ifi.dbs.elki.data.model.Model; +import de.lmu.ifi.dbs.elki.database.Database; + +/** + * Interface for Algorithms that are capable to provide a {@link Clustering + * Clustering} as Result. in general, clustering algorithms are supposed to + * implement the {@link de.lmu.ifi.dbs.elki.algorithm.Algorithm}-Interface. The + * more specialized interface {@link ClusteringAlgorithm} requires an + * implementing algorithm to provide a special result class suitable as a + * partitioning of the database. More relaxed clustering algorithms are allowed + * to provide a result that is a fuzzy clustering, does not partition the + * database complete or is in any other sense a relaxed clustering result. + * + * @author Arthur Zimek + * + * @apiviz.uses Clustering + * @apiviz.uses Model + * + * @param <C> Clustering type + */ +public interface ClusteringAlgorithm<C extends Clustering<? extends Model>> extends Algorithm { + @Override + C run(Database database) throws IllegalStateException; +}
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