Package elki.clustering.kmedoids.initialization

Interface KMedoidsInitialization<O>

Type Parameters:

O - Object type

All Known Implementing Classes:

AlternateRefinement, BUILD, FarthestPoints, FarthestSumPoints, FirstK, GreedyG, KMeansPlusPlus, KMedoidsKMedoidsInitialization, LAB, ParkJun, RandomlyChosen

public interface KMedoidsInitialization<O>

Interface for initializing K-Medoids. In contrast to k-means initializers, this initialization will only return members of the original data set.

Since:

0.5.0

Author:

Erich Schubert

Method Summary

Modifier and Type	Method	Description
elki.database.ids.DBIDs	chooseInitialMedoids(int k, elki.database.ids.DBIDs ids, elki.database.query.distance.DistanceQuery<? super O> distance)	Choose initial means

Method Detail

chooseInitialMedoids

elki.database.ids.DBIDs chooseInitialMedoids(int k,
                                             elki.database.ids.DBIDs ids,
                                             elki.database.query.distance.DistanceQuery<? super O> distance)

Choose initial means

Parameters:

k - Parameter k

ids - Candidate IDs.

distance - Distance function

Returns:

List of chosen means for k-means