| Package | Description | 
|---|---|
| de.lmu.ifi.dbs.elki.evaluation | 
 Functionality for the evaluation of algorithms. 
 | 
| de.lmu.ifi.dbs.elki.evaluation.clustering | 
 Evaluation of clustering results. 
 | 
| de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments | 
 Pair-segment analysis of multiple clusterings. 
 | 
| de.lmu.ifi.dbs.elki.evaluation.histogram | 
 Functionality for the evaluation of algorithms using histograms. 
 | 
| de.lmu.ifi.dbs.elki.evaluation.index | 
 Simple index evaluation methods 
 | 
| de.lmu.ifi.dbs.elki.evaluation.outlier | 
 Evaluate an outlier score using a misclassification based cost model. 
 | 
| de.lmu.ifi.dbs.elki.evaluation.similaritymatrix | 
 Render a distance matrix to visualize a clustering-distance-combination. 
 | 
| de.lmu.ifi.dbs.elki.workflow | 
 Work flow packages, e.g. following the usual KDD model, closely related to CRISP-DM 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
AutomaticEvaluation
Evaluator that tries to auto-run a number of evaluation methods. 
 | 
class  | 
NoAutomaticEvaluation
No-operation evaluator, that only serves the purpose of explicitely disabling
 the default value of  
AutomaticEvaluation, if you do not want
 evaluation to run. | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
EvaluateClustering
Evaluate a clustering result by comparing it to an existing cluster label. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
ClusterPairSegmentAnalysis
Evaluate clustering results by building segments for their pairs: shared
 pairs and differences. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
ComputeOutlierHistogram
Compute a Histogram to evaluate a ranking algorithm. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
IndexPurity
Compute the purity of index pages as a naive measure for performance
 capabilities using the Gini index. 
 | 
class  | 
IndexStatistics
Simple index analytics, which includes the toString() dump of index
 information. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
JudgeOutlierScores
Compute a Histogram to evaluate a ranking algorithm. 
 | 
class  | 
OutlierPrecisionAtKCurve
Compute a curve containing the precision values for an outlier detection
 method. 
 | 
class  | 
OutlierPrecisionRecallCurve
Compute a curve containing the precision values for an outlier detection
 method. 
 | 
class  | 
OutlierROCCurve
Compute a ROC curve to evaluate a ranking algorithm and compute the
 corresponding ROCAUC value. 
 | 
class  | 
OutlierSmROCCurve
Smooth ROC curves are a variation of classic ROC curves that takes the scores
 into account. 
 | 
class  | 
OutlierThresholdClustering
Pseudo clustering algorithm that builds clusters based on their outlier
 score. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
ComputeSimilarityMatrixImage<O>
Compute a similarity matrix for a distance function. 
 | 
| Modifier and Type | Field and Description | 
|---|---|
private List<Evaluator> | 
EvaluationStep.evaluators
Evaluators to run 
 | 
private List<Evaluator> | 
EvaluationStep.Evaluation.evaluators
Evaluators to run. 
 | 
private List<Evaluator> | 
EvaluationStep.Parameterizer.evaluators
Evaluators to run 
 | 
| Constructor and Description | 
|---|
EvaluationStep.Evaluation(HierarchicalResult baseResult,
                         List<Evaluator> evaluators)
Constructor. 
 | 
EvaluationStep(List<Evaluator> evaluators)
Constructor. 
 |