Package | Description |
---|---|
de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain |
Clustering algorithms for uncertain data.
|
de.lmu.ifi.dbs.elki.evaluation.clustering |
Evaluation of clustering results.
|
de.lmu.ifi.dbs.elki.evaluation.outlier |
Evaluate an outlier score using a misclassification based cost model.
|
de.lmu.ifi.dbs.elki.result |
Result types, representation and handling
|
Modifier and Type | Class and Description |
---|---|
static class |
RepresentativeUncertainClustering.RepresentativenessEvaluation
Representativeness evaluation result.
|
Modifier and Type | Class and Description |
---|---|
static class |
EvaluateClustering.ScoreResult
Result object for outlier score judgements.
|
Modifier and Type | Method and Description |
---|---|
private EvaluationResult |
OutlierRankingEvaluation.evaluateOrderingResult(int size,
SetDBIDs positiveids,
DBIDs order) |
private EvaluationResult |
OutlierRankingEvaluation.evaluateOutlierResult(int size,
SetDBIDs positiveids,
OutlierResult or) |
Modifier and Type | Method and Description |
---|---|
static EvaluationResult |
EvaluationResult.findOrCreate(ResultHierarchy hierarchy,
Result parent,
String name,
String shortname)
Find or create an evaluation result.
|
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.