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

java.lang.Object
- elki.clustering.kmeans.initialization.KMeansPlusPlus.Instance<T>

Type Parameters:

T - Object type handled

Direct Known Subclasses:

KMeansPlusPlus.MedoidsInstance, KMeansPlusPlus.NumberVectorInstance

Enclosing class:

KMeansPlusPlus<O>
```
protected abstract static class KMeansPlusPlus.Instance<T>
extends java.lang.Object
```
Abstract instance implementing the weight handling.

Author:

Erich Schubert

Field Summary

Fields
Modifier and Type	Field	Description
`protected long`	`diststat`	Count the number of distance computations.
`protected DBIDs`	`ids`	Object IDs
`protected java.util.Random`	`random`	Random generator
`protected WritableDoubleDataStore`	`weights`	Weights

Constructor Summary

Constructors
Constructor Description

Instance(DBIDs ids, RandomFactory rnd)
Constructor.

Method Summary

All Methods Instance Methods Abstract Methods Concrete Methods
Modifier and Type	Method	Description
`protected abstract double`	`distance(T a, DBIDRef b)`	Compute the distance of two objects.
`protected double`	`initialWeights(T first)`	Initialize the weight list.
`protected double`	`nextDouble(double weightsum)`
`protected double`	`updateWeights(T latest)`	Update the weight list.

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

Field Detail

ids
```
protected DBIDs ids
```
Object IDs

weights

protected WritableDoubleDataStore weights

Weights

diststat
```
protected long diststat
```
Count the number of distance computations.

random
```
protected java.util.Random random
```
Random generator

Constructor Detail
- Instance
```
public Instance(DBIDs ids,
                RandomFactory rnd)
```
  Constructor.
  
  Parameters:
  
  ids - IDs to process
  
  rnd - Random generator

Method Detail
- distance
```
protected abstract double distance(T a,
                                   DBIDRef b)
```
  Compute the distance of two objects.
  
  Parameters:
  
  a - First object
  
  b - Second object
  
  Returns:
  
  Distance
- initialWeights
```
protected double initialWeights(T first)
```
  Initialize the weight list.
  
  Parameters:
  
  first - Added ID
  
  Returns:
  
  Weight sum
- updateWeights
```
protected double updateWeights(T latest)
```
  Update the weight list.
  
  Parameters:
  
  latest - Added ID
  
  Returns:
  
  Weight sum
- nextDouble
```
protected double nextDouble(double weightsum)
```