Uses of Interface
org.openimaj.experiment.evaluation.cluster.analyser.ClusterAnalyser

Packages that use ClusterAnalyser

Package	Description
org.openimaj.experiment.evaluation.cluster
org.openimaj.experiment.evaluation.cluster.analyser	This package contains classes that can be used to evaluate clustering performance.

Uses of ClusterAnalyser in org.openimaj.experiment.evaluation.cluster

Constructors in org.openimaj.experiment.evaluation.cluster with parameters of type ClusterAnalyser

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)
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)

Uses of ClusterAnalyser in org.openimaj.experiment.evaluation.cluster.analyser

Classes in org.openimaj.experiment.evaluation.cluster.analyser with type parameters of type ClusterAnalyser

Modifier and Type	Class and Description
class	RandomBaselineClusterAnalyser<ANNER extends ClusterAnalyser<ANNYS>,ANNYS extends RandomBaselineWrappable & AnalysisResult> Wraps the functionality of any ClusterAnalyser as corrected by a Random baseline.

Classes in org.openimaj.experiment.evaluation.cluster.analyser that implement ClusterAnalyser

Modifier and Type	Class and Description
class	AdjustedRandomIndexClusterAnalyser Create an AdjustedRandomIndexAnalysis instance
class	ClusterStatsAnalyser Analysers extracts stats of the correct and estimated clusterings
class	DecisionClusterAnalyser<T extends AnalysisResult> Gather the true positives, true negatives, false positives, false negatives for a DecisionAnalysis instance
class	FScoreClusterAnalyser
class	FullMEClusterAnalyser A set of measures used to evaulate clustering.
class	NMIClusterAnalyser The normalised mutual information of a cluster estimate
class	PurityClusterAnalyser Create a measure of purity
class	RandomBaselineClusterAnalyser<ANNER extends ClusterAnalyser<ANNYS>,ANNYS extends RandomBaselineWrappable & AnalysisResult> Wraps the functionality of any ClusterAnalyser as corrected by a Random baseline.
class	RandomBaselineSMEClusterAnalyser A set of measures used to evaluate clustering quality.
class	RandomIndexClusterAnalyser
class	SimpleMEClusterAnalyser A set of measures used to evaluate clustering.