Package elki.clustering.em.models

Class BetulaMultivariateGaussianModelFactory

java.lang.Object

elki.clustering.em.models.BetulaMultivariateGaussianModelFactory

All Implemented Interfaces:

BetulaClusterModelFactory<MultivariateGaussianModel>

@Reference(authors="Andreas Lang and Erich Schubert",
           title="BETULA: Fast Clustering of Large Data with Improved BIRCH CF-Trees",
           booktitle="Information Systems",
           url="https://doi.org/10.1016/j.is.2021.101918",
           bibkey="DBLP:journals/is/LangS22")
public class BetulaMultivariateGaussianModelFactory
extends java.lang.Object
implements BetulaClusterModelFactory<MultivariateGaussianModel>

Factory for EM with multivariate gaussian models using diagonal matrixes.

References:

Andreas Lang and Erich Schubert
BETULA: Fast Clustering of Large Data with Improved BIRCH CF-Trees
Information Systems

Since:

0.8.0

Author:

Andreas Lang

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	BetulaMultivariateGaussianModelFactory.Par	Parameterization class

Field Summary

Fields

Modifier and Type	Field	Description
protected AbstractCFKMeansInitialization	initializer	Class to choose the initial means

Fields inherited from interface elki.clustering.em.models.BetulaClusterModelFactory

INIT_ID

Constructor Summary

Constructors

Constructor	Description
BetulaMultivariateGaussianModelFactory(AbstractCFKMeansInitialization initializer)	Constructor.

Method Summary

Modifier and Type	Method	Description
java.util.List<MultivariateGaussianModel>	buildInitialModels(java.util.List<? extends ClusterFeature> cfs, int k, CFTree<?> tree)	Build the initial models.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

initializer

protected AbstractCFKMeansInitialization initializer

Class to choose the initial means

Constructor Detail

BetulaMultivariateGaussianModelFactory

public BetulaMultivariateGaussianModelFactory(AbstractCFKMeansInitialization initializer)

Constructor.

Parameters:

initializer - Class for choosing the initial seeds.

Method Detail

buildInitialModels

public java.util.List<MultivariateGaussianModel> buildInitialModels(java.util.List<? extends ClusterFeature> cfs,
                                                                    int k,
                                                                    CFTree<?> tree)

Description copied from interface: BetulaClusterModelFactory

Build the initial models.

Specified by:

buildInitialModels in interface BetulaClusterModelFactory<MultivariateGaussianModel>

Parameters:

cfs - List of clustering features

k - Number of clusters.

tree - CF tree

Returns:

Initial models