org.openimaj.experiment.evaluation.cluster

Class RangedDBSCANClusterEvaluator<D,T extends AnalysisResult>

java.lang.Object

org.openimaj.experiment.evaluation.cluster.RangedDBSCANClusterEvaluator<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<Map<Double,int[][]>,RangedAnalysisResult<Double,T>>

public class RangedDBSCANClusterEvaluator<D,T extends AnalysisResult>
extends Object
implements Evaluator<Map<Double,int[][]>,RangedAnalysisResult<Double,T>>

Author:

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

Constructor Summary

Constructors

Constructor and Description
RangedDBSCANClusterEvaluator(UniformDoubleRangeIterable r, SparseMatrixDBSCAN gen, Map<A,? extends List<B>> dataset, Function<List<B>,SparseMatrix> transform, ClusterAnalyser<T> analyser)
RangedDBSCANClusterEvaluator(UniformDoubleRangeIterable r, SparseMatrixDBSCAN gen, SparseMatrix data, Function<B,Integer> indexFunc, Map<A,? extends List<B>> dataset, ClusterAnalyser<T> analyser)
RangedDBSCANClusterEvaluator(UniformDoubleRangeIterable r, SparseMatrixDBSCAN gen, SparseMatrix data, int[][] clusters, ClusterAnalyser<T> analyser)
RangedDBSCANClusterEvaluator(UniformDoubleRangeIterable r, SparseMatrixDBSCAN gen, SparseMatrix data, Map<A,? extends List<B>> dataset, ClusterAnalyser<T> analyser)

Method Summary

Modifier and Type	Method and Description
RangedAnalysisResult<Double,T>	analyse(Map<Double,int[][]> estimated) Analyse the raw data produced by a call to Evaluator.evaluate() and return the analysed data.
Map<Double,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

RangedDBSCANClusterEvaluator

public RangedDBSCANClusterEvaluator(UniformDoubleRangeIterable r,
                                    SparseMatrixDBSCAN gen,
                                    SparseMatrix data,
                                    int[][] clusters,
                                    ClusterAnalyser<T> analyser)

Parameters:

r - the range of values for the SparseMatrixDBSCAN eps value

gen -

data -

clusters -

analyser -

RangedDBSCANClusterEvaluator

public RangedDBSCANClusterEvaluator(UniformDoubleRangeIterable r,
                                    SparseMatrixDBSCAN gen,
                                    SparseMatrix data,
                                    Map<A,? extends List<B>> dataset,
                                    ClusterAnalyser<T> analyser)

Parameters:

r - the range of values for the SparseMatrixDBSCAN eps value

gen -

data -

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

analyser -

RangedDBSCANClusterEvaluator

public RangedDBSCANClusterEvaluator(UniformDoubleRangeIterable r,
                                    SparseMatrixDBSCAN gen,
                                    SparseMatrix data,
                                    Function<B,Integer> indexFunc,
                                    Map<A,? extends List<B>> dataset,
                                    ClusterAnalyser<T> analyser)

Parameters:

r - the range of values for the SparseMatrixDBSCAN eps value

gen -

data -

indexFunc - given a data instance, return its index

dataset -

analyser -

RangedDBSCANClusterEvaluator

public RangedDBSCANClusterEvaluator(UniformDoubleRangeIterable r,
                                    SparseMatrixDBSCAN gen,
                                    Map<A,? extends List<B>> dataset,
                                    Function<List<B>,SparseMatrix> transform,
                                    ClusterAnalyser<T> analyser)

Parameters:

r - the range of values for the SparseMatrixDBSCAN eps value

gen -

dataset -

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

analyser -

Method Detail

evaluate

public Map<Double,int[][]> evaluate()

Description copied from interface: Evaluator

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

Specified by:

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

Returns:

the raw data

analyse

public RangedAnalysisResult<Double,T> analyse(Map<Double,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<Map<Double,int[][]>,RangedAnalysisResult<Double,T extends AnalysisResult>>

Parameters:

estimated - the raw data.

Returns:

the analysed data