TextbookMultivariateGaussianModelFactory (ELKI: Environment for DeveLoping KDD-Applications Supported by Index-Structures)

java.lang.Object
- elki.clustering.em.models.TextbookMultivariateGaussianModelFactory

All Implemented Interfaces:

EMClusterModelFactory<NumberVector,EMModel>
```
public class TextbookMultivariateGaussianModelFactory
extends java.lang.Object
implements EMClusterModelFactory<NumberVector,EMModel>
```
Factory for EM with multivariate Gaussian model, using the textbook algorithm. There is no reason to use this in practice, it is only useful to study the reliability of the textbook approach.
"Textbook" refers to the E[XY]-E[X]E[Y] equation for covariance, that is numerically not reliable with floating point math, but popular in textbooks.
Again, do not use this. Always prefer MultivariateGaussianModelFactory.

Since:

0.7.5

Author:

Erich Schubert

Field Summary

Fields
Modifier and Type Field Description

protected KMeansInitialization initializer
Class to choose the initial means
- Fields inherited from interface elki.clustering.em.models.EMClusterModelFactory
  INIT_ID

Constructor Summary

Constructors
Constructor Description

TextbookMultivariateGaussianModelFactory(KMeansInitialization initializer)
Constructor.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`java.util.List<TextbookMultivariateGaussianModel>`	`buildInitialModels(Relation<? extends NumberVector> relation, int k)`	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 KMeansInitialization initializer
```
    Class to choose the initial means
- Constructor Detail
  - TextbookMultivariateGaussianModelFactory
```
public TextbookMultivariateGaussianModelFactory(KMeansInitialization initializer)
```
    Constructor.
    
    Parameters:
    
    initializer - Class for choosing the initial seeds.
- Method Detail
  - buildInitialModels
```
public java.util.List<TextbookMultivariateGaussianModel> buildInitialModels(Relation<? extends NumberVector> relation,
                                                                            int k)
```
    Description copied from interface: EMClusterModelFactory
    
    Build the initial models
    
    Specified by:
    
    buildInitialModels in interface EMClusterModelFactory<NumberVector,EMModel>
    
    Parameters:
    
    relation - Relation
    
    k - Number of clusters
    
    Returns:
    
    Initial models