DataType - The algorithm operates on a Collection<DataType>,
so DataType will be something like Vector or String@CodeReview(reviewer="Kevin R. Dixon", date="2008-07-23", changesNeeded=false, comments="Interface looks fine.") public class CentroidClusterDivergenceFunction<DataType> extends DefaultDivergenceFunctionContainer<DataType,DataType> implements ClusterDivergenceFunction<CentroidCluster<DataType>,DataType>
divergenceFunction| Constructor and Description |
|---|
CentroidClusterDivergenceFunction(DivergenceFunction<? super DataType,? super DataType> divergenceFunction)
Creates a new instance of CentroidClusterDivergenceFunction.
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| Modifier and Type | Method and Description |
|---|---|
CentroidClusterDivergenceFunction<DataType> |
clone()
This makes public the clone method on the
Object class and
removes the exception that it throws. |
double |
evaluate(CentroidCluster<DataType> cluster,
DataType other)
Evaluates the divergence between the cluster centroid and the given
object.
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getDivergenceFunction, setDivergenceFunctionpublic CentroidClusterDivergenceFunction(DivergenceFunction<? super DataType,? super DataType> divergenceFunction)
divergenceFunction - The divergenceFunction to use to compute distances.public CentroidClusterDivergenceFunction<DataType> clone()
AbstractCloneableSerializableObject class 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 ObjectUtil may 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.clone in interface CloneableSerializableclone in class DefaultDivergenceFunctionContainer<DataType,DataType>public double evaluate(CentroidCluster<DataType> cluster, DataType other)
evaluate in interface DivergenceFunction<CentroidCluster<DataType>,DataType>cluster - The cluster to compute distance from. Cannot be null.other - The object to compute the distance to.