edu.cmu.tetrad.cluster.ClusteringAlgorithm Maven / Gradle / Ivy
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// For information as to what this class does, see the Javadoc, below. //
// Copyright (C) 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, //
// 2007, 2008, 2009, 2010, 2014, 2015, 2022 by Peter Spirtes, Richard //
// Scheines, Joseph Ramsey, and Clark Glymour. //
// //
// This program is free software; you can redistribute it and/or modify //
// it under the terms of the GNU General Public License as published by //
// the Free Software Foundation; either version 2 of the License, or //
// (at your option) any later version. //
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// This program is distributed in the hope that it will be useful, //
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// GNU General Public License for more details. //
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// You should have received a copy of the GNU General Public License //
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package edu.cmu.tetrad.cluster;
import edu.cmu.tetrad.util.Matrix;
import java.util.List;
/**
* Represents a clustering algorithm to cluster some data. The data is a TetradMatrix matrix with rows as cases and
* columns as variables. The purpose of this interface is to allow a clustering algorithm to have parameters set so that
* it can be passed to another class to do clustering on data.
*
* @author josephramsey
* @version $Id: $Id
*/
public interface ClusteringAlgorithm {
/**
* Clusters the given data set.
*
* @param data An n x m double matrix with n cases (rows) and m variables (columns). Makes an int array c such that
* c[i] is the cluster that case i is placed into, or -1 if case i is not placed into a cluster (as a
* result of its being eliminated from consideration, for instance).
*/
void cluster(Matrix data);
/**
* getClusters.
*
* @return a list of clusters, each consisting of a list of indices in the dataset provided as an argument to
* cluster, or null if the data has not yet been clustered.
*/
List> getClusters();
/**
* True iff verbose output should be printed.
*
* @param verbose True iff verbose output should be printed.
*/
void setVerbose(boolean verbose);
}