EuclideanSphericalElkanKMeans.Instance (ELKI: Environment for DeveLoping KDD-Applications Supported by Index-Structures)

java.lang.Object
- elki.clustering.kmeans.AbstractKMeans.Instance
- - elki.clustering.kmeans.spherical.SphericalKMeans.Instance
  - - elki.clustering.kmeans.spherical.EuclideanSphericalSimplifiedElkanKMeans.Instance
    - - elki.clustering.kmeans.spherical.EuclideanSphericalElkanKMeans.Instance

Enclosing class:

EuclideanSphericalElkanKMeans<V extends elki.data.NumberVector>
```
protected static class EuclideanSphericalElkanKMeans.Instance
extends EuclideanSphericalSimplifiedElkanKMeans.Instance
```
Inner instance, storing state for a single data set.

Author:

Erich Schubert

Field Summary

Fields
Modifier and Type Field Description

(package private) double[][] cdist
Cluster center distances
- Fields inherited from class elki.clustering.kmeans.spherical.EuclideanSphericalSimplifiedElkanKMeans.Instance
  lower, newmeans, sep, sums, upper
- Fields inherited from class elki.clustering.kmeans.AbstractKMeans.Instance
  assignment, clusters, diststat, isSquared, k, key, means, relation, varsum

Constructor Summary

Constructors
Constructor Description

Instance(elki.database.relation.Relation<? extends elki.data.NumberVector> relation, double[][] means)
Constructor.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`protected int`	`assignToNearestCluster()`	Assign each object to the nearest cluster.
`protected elki.logging.Logging`	`getLogger()`	Get the class logger.
`protected int`	`initialAssignToNearestCluster()`	Perform initial cluster assignment.

Methods inherited from class elki.clustering.kmeans.spherical.EuclideanSphericalSimplifiedElkanKMeans.Instance
iterate, updateBounds

Methods inherited from class elki.clustering.kmeans.spherical.SphericalKMeans.Instance
distance, distance, distance, initialSeparation, means, meansFromSums, movedSimilarity, recomputeVariance, similarity, similarity, sqrtdistance, sqrtdistance

Methods inherited from class elki.clustering.kmeans.AbstractKMeans.Instance
buildResult, buildResult, computeSquaredSeparation, copyMeans, initialSeperation, movedDistance, recomputeSeperation, run, sqrtdistance

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

- Field Detail
  - cdist
```
double[][] cdist
```
    Cluster center distances
- Constructor Detail
  - Instance
```
public Instance(elki.database.relation.Relation<? extends elki.data.NumberVector> relation,
                double[][] means)
```
    Constructor.
    
    Parameters:
    
    relation - Relation
    
    means - Initial means
- Method Detail
  - initialAssignToNearestCluster
```
protected int initialAssignToNearestCluster()
```
    Description copied from class: EuclideanSphericalSimplifiedElkanKMeans.Instance
    
    Perform initial cluster assignment.
    
    Overrides:
    
    initialAssignToNearestCluster in class EuclideanSphericalSimplifiedElkanKMeans.Instance
    
    Returns:
    
    Number of changes (i.e., relation size)
  - assignToNearestCluster
```
protected int assignToNearestCluster()
```
    Description copied from class: AbstractKMeans.Instance
    
    Assign each object to the nearest cluster.
    
    Overrides:
    
    assignToNearestCluster in class EuclideanSphericalSimplifiedElkanKMeans.Instance
    
    Returns:
    
    number of objects reassigned
  - getLogger
```
protected elki.logging.Logging getLogger()
```
    Description copied from class: AbstractKMeans.Instance
    
    Get the class logger.
    
    Overrides:
    
    getLogger in class EuclideanSphericalSimplifiedElkanKMeans.Instance
    
    Returns:
    
    Logger