See: Description
| Interface | Description |
|---|---|
| ClusterAnalyser<T extends AnalysisResult> | |
| RandomBaselineWrappable |
An
AnalysisResult which can offer some score and thus be compared to
a random baseline |
| Class | Description |
|---|---|
| AdjustedRandomIndexAnalysis |
The adjsuted random index as described by: http://faculty.washington.edu/kayee/pca/supp.pdf
|
| AdjustedRandomIndexClusterAnalyser |
Create an
AdjustedRandomIndexAnalysis instance |
| ClusterAnalyserUtils |
Tools for
ClusterAnalyser instances |
| ClusterStatsAnalyser |
Analysers extracts stats of the correct and estimated clusterings
|
| ClusterStatsAnalysis |
Counts some overall statistics of cluster evaluation such as min, max and average cluster length
|
| DecisionAnalysis |
Counting the number of true positives, true negatives, flase postitives and false negatives
one can produce various cluster quality metrics including the fscore and randindex
|
| DecisionClusterAnalyser<T extends AnalysisResult> |
Gather the true positives, true negatives, false positives, false negatives for a
DecisionAnalysis instance |
| FScoreAnalysis |
Uses a decision analysis to produce the random index result
|
| FScoreClusterAnalyser | |
| FullMEAnalysis |
Sina Samangooei (ss@ecs.soton.ac.uk)
|
| FullMEClusterAnalyser |
A set of measures used to evaulate clustering.
|
| NMIAnalysis |
Measures normalised mutual information.
|
| NMIClusterAnalyser |
The normalised mutual information of a cluster estimate
|
| PurityAnalysis |
A measure of how pure each cluster is.
|
| PurityClusterAnalyser |
Create a measure of purity
|
| RandomBaselineClusterAnalyser<ANNER extends ClusterAnalyser<ANNYS>,ANNYS extends RandomBaselineWrappable & AnalysisResult> |
Wraps the functionality of any
ClusterAnalyser as corrected by
a Random baseline. |
| RandomBaselineClusterAnalysis<T extends RandomBaselineWrappable & AnalysisResult> |
The result of a
TestRandomBaselineClusterAnalyser which wraps the
baseline result and result of an AnalysisResult |
| RandomBaselineSMEAnalysis |
Results of applying a RandomBaselineSMEAnalysis to evaluate clustering.
|
| RandomBaselineSMEClusterAnalyser |
A set of measures used to evaluate clustering quality.
|
| RandomIndexAnalysis |
Uses a decision analysis to produce the random index result
|
| RandomIndexClusterAnalyser | |
| SimpleMEAnalysis |
Result of applying a
SimpleMEClusterAnalyser. |
| SimpleMEClusterAnalyser |
A set of measures used to evaluate clustering.
|