org.openimaj.experiment.evaluation.cluster

Class ClusterEvaluator<D,T extends AnalysisResult>

java.lang.Object

org.openimaj.experiment.evaluation.cluster.ClusterEvaluator<D,T>

Type Parameters:

D - The type of data which the internal clusterer can cluster lists of

T - The type of results the

All Implemented Interfaces:

Evaluator<int[][],T>

public class ClusterEvaluator<D,T extends AnalysisResult>
extends Object
implements Evaluator<int[][],T>

Author:

Sina Samangooei (ss@ecs.soton.ac.uk)

Constructor Summary

Constructors

Constructor and Description
ClusterEvaluator(Clusterer<D> gen, D data, Function<B,Integer> indexFunc, Map<A,? extends List<B>> dataset, ClusterAnalyser<T> analyser)
ClusterEvaluator(Clusterer<D> gen, D data, int[][] clusters, ClusterAnalyser<T> analyser)
ClusterEvaluator(Clusterer<D> gen, D data, Map<A,? extends List<B>> dataset, ClusterAnalyser<T> analyser)
ClusterEvaluator(Clusterer<D> gen, Map<A,? extends List<B>> dataset, Function<List<B>,D> transform, ClusterAnalyser<T> analyser)

Method Summary

Modifier and Type	Method and Description
T	analyse(int[][] estimated) Analyse the raw data produced by a call to Evaluator.evaluate() and return the analysed data.
int[][]	evaluate() Run, or evaluate the system, returning the raw data.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

ClusterEvaluator

public ClusterEvaluator(Clusterer<D> gen,
                        D data,
                        int[][] clusters,
                        ClusterAnalyser<T> analyser)

Parameters:

gen -

data -

clusters -

analyser -

ClusterEvaluator

public ClusterEvaluator(Clusterer<D> gen,
                        D data,
                        Map<A,? extends List<B>> dataset,
                        ClusterAnalyser<T> analyser)

Parameters:

gen -

data -

dataset - extract the elements of this map "in order" and build a ground truth. very dangerous.

analyser -

ClusterEvaluator

public ClusterEvaluator(Clusterer<D> gen,
                        D data,
                        Function<B,Integer> indexFunc,
                        Map<A,? extends List<B>> dataset,
                        ClusterAnalyser<T> analyser)

Parameters:

gen -

data -

indexFunc - given a data instance, return its index

dataset -

analyser -

ClusterEvaluator

public ClusterEvaluator(Clusterer<D> gen,
                        Map<A,? extends List<B>> dataset,
                        Function<List<B>,D> transform,
                        ClusterAnalyser<T> analyser)

Parameters:

gen -

dataset -

transform - turn a list of dataset items into the required type for clustering

analyser -

Method Detail

evaluate

public int[][] evaluate()

Description copied from interface: Evaluator

Run, or evaluate the system, returning the raw data.

Specified by:

evaluate in interface Evaluator<int[][],T extends AnalysisResult>

Returns:

the raw data

analyse

public T analyse(int[][] estimated)

Description copied from interface: Evaluator

Analyse the raw data produced by a call to Evaluator.evaluate() and return the analysed data.

Specified by:

analyse in interface Evaluator<int[][],T extends AnalysisResult>

Parameters:

estimated - the raw data.

Returns:

the analysed data