RandomClustering

java.lang.Object

org.ojalgo.data.cluster.RandomClustering<T>

All Implemented Interfaces:: ClusteringAlgorithm<T>

final class RandomClustering<T> extends Object implements ClusteringAlgorithm<T>

Randomly assigns each item to one of k clusters.

Field Summary

Fields

Modifier and Type

Field

Description

private final int

myK

private static final Random

RANDOM
Constructor Summary

Constructors

Constructor

Description

RandomClustering(int k)
Method Summary

Modifier and Type

Method

Description

(package private) List<T>

centroids(Collection<T> input)

List<Set<T>>

cluster(Collection<T> input)

Partitions the given items into clusters.

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

Field Details
- RANDOM
  
  private static final Random RANDOM
- myK
  
  private final int myK
Constructor Details
- RandomClustering
  
  RandomClustering(int k)
Method Details
- cluster
  
  public List<Set<T>> cluster(Collection<T> input)
  
  Description copied from interface: ClusteringAlgorithm
  
  Partitions the given items into clusters.
  
  Specified by:
  
  cluster in interface ClusteringAlgorithm<T>
  
  Parameters:
  
  input - The items to cluster; must not be null. May be empty.
  
  Returns:
  
  A list of clusters; each element of the list is a Set<T> representing one cluster and containing its members. Sets are non-empty and pairwise disjoint; ordering is unspecified.
- centroids
  
  List<T> centroids(Collection<T> input)