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+package de.lmu.ifi.dbs.elki.algorithm.clustering.em;
+
+/*
+ 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.data.NumberVector;
+import de.lmu.ifi.dbs.elki.data.model.MeanModel;
+
+/**
+ * Models useable in EM clustering.
+ *
+ * @author Erich Schubert
+ */
+public interface EMClusterModel<M extends MeanModel> {
+ /**
+ * Begin the E step.
+ */
+ void beginEStep();
+
+ /**
+ * Update the
+ *
+ * @param vec Vector to process
+ * @param weight Weight
+ */
+ void updateE(NumberVector vec, double weight);
+
+ /**
+ * Finalize the E step.
+ */
+ void finalizeEStep();
+
+ /**
+ * Estimate the likelihood of a vector.
+ *
+ * @param vec Vector
+ * @return Likelihood.
+ */
+ double estimateDensity(NumberVector vec);
+
+ /**
+ * Finalize a cluster model.
+ *
+ * @return Cluster model
+ */
+ M finalizeCluster();
+
+ /**
+ * Get the cluster weight.
+ *
+ * @return Cluster weight
+ */
+ double getWeight();
+
+ /**
+ * Set the cluster weight.
+ *
+ * @param weight Cluster weight
+ */
+ void setWeight(double weight);
+} \ No newline at end of file