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

java.lang.Object
- elki.clustering.kmeans.AbstractKMeans<V,KMeansModel>
- - elki.clustering.kmeans.spherical.SphericalKMeans<V>
  - - elki.clustering.kmeans.spherical.SphericalSingleAssignmentKMeans<V>

Type Parameters:

V - vector datatype

All Implemented Interfaces:

Algorithm, ClusteringAlgorithm<Clustering<KMeansModel>>, KMeans<V,KMeansModel>
```
public class SphericalSingleAssignmentKMeans<V extends NumberVector>
extends SphericalKMeans<V>
```
Pseudo-k-Means variations, that assigns each object to the nearest center.

Since:

0.8.0

Author:

Alexander Voß, Erich Schubert, Andreas Lang

Nested Class Summary

Nested Classes
Modifier and Type	Class	Description
`static class`	`SphericalSingleAssignmentKMeans.Instance`	Instance for a particular data set.
`static class`	`SphericalSingleAssignmentKMeans.Par<V extends NumberVector>`	Parameterization class.

Nested classes/interfaces inherited from interface elki.Algorithm
Algorithm.Utils

Field Summary

Fields
Modifier and Type Field Description

private static Logging LOG
Class logger
- Fields inherited from class elki.clustering.kmeans.AbstractKMeans
  distance, initializer, k, maxiter
- Fields inherited from interface elki.clustering.kmeans.KMeans
  DISTANCE_FUNCTION_ID, INIT_ID, K_ID, MAXITER_ID, SEED_ID, VARSTAT_ID

Constructor Summary

Constructors
Constructor Description

SphericalSingleAssignmentKMeans(int k, KMeansInitialization initializer)
Constructor.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`protected Logging`	`getLogger()`	Get the (STATIC) logger for this class.
`Clustering<KMeansModel>`	`run(Relation<V> relation)`	Run the clustering algorithm.

Methods inherited from class elki.clustering.kmeans.spherical.SphericalKMeans
getInputTypeRestriction

Methods inherited from class elki.clustering.kmeans.AbstractKMeans
getDistance, incrementalUpdateMean, initialMeans, means, minusEquals, nearestMeans, plusEquals, plusMinusEquals, setDistance, setInitializer, setK

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface elki.clustering.ClusteringAlgorithm
autorun

- Field Detail
  - LOG
```
private static final Logging LOG
```
    Class logger
- Constructor Detail
  - SphericalSingleAssignmentKMeans
```
public SphericalSingleAssignmentKMeans(int k,
                                       KMeansInitialization initializer)
```
    Constructor.
    
    Parameters:
    
    k - Number of clusters
    
    initializer - Initialization class
- Method Detail
  - run
```
public Clustering<KMeansModel> run(Relation<V> relation)
```
    Description copied from interface: KMeans
    
    Run the clustering algorithm.
    
    Specified by:
    
    run in interface KMeans<V extends NumberVector,KMeansModel>
    
    Overrides:
    
    run in class SphericalKMeans<V extends NumberVector>
    
    Parameters:
    
    relation - Relation to process.
    
    Returns:
    
    Clustering result
  - getLogger
```
protected Logging getLogger()
```
    Description copied from class: AbstractKMeans
    
    Get the (STATIC) logger for this class.
    
    Overrides:
    
    getLogger in class SphericalKMeans<V extends NumberVector>
    
    Returns:
    
    the static logger