Class ParkJun<O>
- java.lang.Object
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- elki.clustering.kmedoids.initialization.ParkJun<O>
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- Type Parameters:
O- Object type for KMedoids initialization
- All Implemented Interfaces:
KMeansInitialization,KMedoidsInitialization<O>
@Priority(-100) @Reference(authors="H.-S. Park, C.-H. Jun", title="A simple and fast algorithm for K-medoids clustering", booktitle="Expert Systems with Applications 36(2)", url="https://doi.org/10.1016/j.eswa.2008.01.039", bibkey="DBLP:journals/eswa/ParkJ09") public class ParkJun<O> extends java.lang.Object implements KMeansInitialization, KMedoidsInitialization<O>Initialization method proposed by Park and Jun.It is easy to imagine that this approach can become problematic, because it does not take the distances between medoids into account. In the worst case, it may choose k duplicates as initial centers, therefore we cannot recommend this strategy, but it is provided for completeness.
Reference:
H.-S. Park, C.-H. Jun
A simple and fast algorithm for K-medoids clustering
Expert Systems with Applications 36(2)- Since:
- 0.7.5
- Author:
- Erich Schubert
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Nested Class Summary
Nested Classes Modifier and Type Class Description static classParkJun.Par<V>Parameterization class.
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Field Summary
Fields Modifier and Type Field Description private static elki.logging.LoggingLOGClass logger.
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Constructor Summary
Constructors Constructor Description ParkJun()Constructor.
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description double[][]chooseInitialMeans(elki.database.relation.Relation<? extends elki.data.NumberVector> relation, int k, elki.distance.NumberVectorDistance<?> distance)Choose initial meanselki.database.ids.DBIDschooseInitialMedoids(int k, elki.database.ids.DBIDs ids, elki.database.query.distance.DistanceQuery<? super O> distQ)Choose initial means
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Method Detail
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chooseInitialMeans
public double[][] chooseInitialMeans(elki.database.relation.Relation<? extends elki.data.NumberVector> relation, int k, elki.distance.NumberVectorDistance<?> distance)Description copied from interface:KMeansInitializationChoose initial means- Specified by:
chooseInitialMeansin interfaceKMeansInitialization- Parameters:
relation- Relationk- Parameter kdistance- Distance function- Returns:
- List of chosen means for k-means
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chooseInitialMedoids
public elki.database.ids.DBIDs chooseInitialMedoids(int k, elki.database.ids.DBIDs ids, elki.database.query.distance.DistanceQuery<? super O> distQ)Description copied from interface:KMedoidsInitializationChoose initial means- Specified by:
chooseInitialMedoidsin interfaceKMedoidsInitialization<O>- Parameters:
k- Parameter kids- Candidate IDs.distQ- Distance function- Returns:
- List of chosen means for k-means
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