org.openimaj.experiment.evaluation.cluster.analyser

Interface ClusterAnalyser<T extends AnalysisResult>

Type Parameters:

T -

All Known Implementing Classes:

AdjustedRandomIndexClusterAnalyser, ClusterStatsAnalyser, DecisionClusterAnalyser, FScoreClusterAnalyser, FullMEClusterAnalyser, NMIClusterAnalyser, PurityClusterAnalyser, RandomBaselineClusterAnalyser, RandomBaselineSMEClusterAnalyser, RandomIndexClusterAnalyser, SimpleMEClusterAnalyser

public interface ClusterAnalyser<T extends AnalysisResult>

Author:

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

Method Summary

Modifier and Type	Method and Description
T	analyse(int[][] correct, int[][] estimated)

Method Detail

analyse

T analyse(int[][] correct,
          int[][] estimated)

Parameters:

correct -

estimated -

Returns:

the analysis of the correct vs estimated results