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

java.lang.Object
- elki.clustering.kmedoids.initialization.KMedoidsKMedoidsInitialization<O>

All Implemented Interfaces:

KMedoidsInitialization<O>
```
@Title("K-medoids Initialization by K-medoids")
@Description("Initialize k-medoids with k-medoids, usually a less expensive variant.")
public class KMedoidsKMedoidsInitialization<O>
extends java.lang.Object
implements KMedoidsInitialization<O>
```
Initialize k-medoids with k-medoids, for methods such as PAMSIL.
This could also be used to initialize, e.g., PAM with CLARA.
TODO: this could be made more useful by adding a sampling option.

Since:

0.8.0

Author:

Erich Schubert

Nested Class Summary

Nested Classes
Modifier and Type Class Description

static class KMedoidsKMedoidsInitialization.Par<O>
Parameterization class.

Field Summary

Fields
Modifier and Type Field Description

private KMedoidsClustering<O> inner
Inner k-medoids clustering to use.

Constructor Summary

Constructors
Constructor Description

KMedoidsKMedoidsInitialization(KMedoidsClustering<O> inner)
Constructor.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`DBIDs`	`chooseInitialMedoids(int k, DBIDs ids, DistanceQuery<? super O> distance)`	Choose initial means

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

- Field Detail
  - inner
```
private KMedoidsClustering<O> inner
```
    Inner k-medoids clustering to use.
- Constructor Detail
  - KMedoidsKMedoidsInitialization
```
public KMedoidsKMedoidsInitialization(KMedoidsClustering<O> inner)
```
    Constructor.
    
    Parameters:
    
    inner - Inner clustering
- Method Detail
  - chooseInitialMedoids
```
public DBIDs chooseInitialMedoids(int k,
                                  DBIDs ids,
                                  DistanceQuery<? super O> distance)
```
    Description copied from interface: KMedoidsInitialization
    
    Choose initial means
    
    Specified by:
    
    chooseInitialMedoids in interface KMedoidsInitialization<O>
    
    Parameters:
    
    k - Parameter k
    
    ids - Candidate IDs.
    
    distance - Distance function
    
    Returns:
    
    List of chosen means for k-means