ClusterType- Type of
Clusterused in this
DataType- The algorithm operates on a
DataTypewill be something like Vector or String.
public class RandomClusterInitializer<ClusterType extends Cluster<DataType>,DataType> extends AbstractRandomized implements FixedClusterInitializer<ClusterType,DataType>
|Modifier and Type||Field and Description|
The creator for new clusters.
|Constructor and Description|
Creates a new random cluster creator.
|Modifier and Type||Method and Description|
This makes public the clone method on the
Initializes a given number of clusters from the given elements.
public RandomClusterInitializer<ClusterType,DataType> clone()
Objectclass and removes the exception that it throws. Its default behavior is to automatically create a clone of the exact type of object that the clone is called on and to copy all primitives but to keep all references, which means it is a shallow copy. Extensions of this class may want to override this method (but call
super.clone()to implement a "smart copy". That is, to target the most common use case for creating a copy of the object. Because of the default behavior being a shallow copy, extending classes only need to handle fields that need to have a deeper copy (or those that need to be reset). Some of the methods in
ObjectUtilmay be helpful in implementing a custom clone method. Note: The contract of this method is that you must use
super.clone()as the basis for your implementation.
public java.util.ArrayList<ClusterType> initializeClusters(int numClusters, java.util.Collection<? extends DataType> elements)