/*
* Copyright (c) 2012-2015, Peter Abeles. All Rights Reserved.
*
* This file is part of DDogleg (http://ddogleg.org).
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.ddogleg.clustering.gmm;
import java.util.List;
/**
* Selects initial Gaussians for EM algorithm.
*
* @author Peter Abeles
*/
public interface InitializeGmm_F64 {
/**
* Initializes internal data structures. Must be called first.
* @param pointDimension Number of degrees of freedom in each point.
* @param randomSeed Seed for any random number generators used internally.
*/
public void init( int pointDimension, long randomSeed );
/**
*
* @param points (input) Set of points which is to be clustered.
* @param seeds (output) List containing storage for the initial Gaussians.
*/
public void selectSeeds( List points, List seeds );
/**
* Turn on verbose output to standard out
*/
void setVerbose( boolean verbose );
}
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