| Package | Description | 
|---|---|
| de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical | |
| de.lmu.ifi.dbs.elki.data | 
 Basic classes for different data types, database object types and label types. 
 | 
| 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.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.result | 
 Result types, representation and handling 
 | 
| de.lmu.ifi.dbs.elki.result.optics | 
 Result classes for OPTICS. 
 | 
| de.lmu.ifi.dbs.elki.result.outlier | 
 Outlier result classes 
 | 
| de.lmu.ifi.dbs.elki.visualization.projections | 
 Visualization projections 
 | 
| 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  | 
PointerHierarchyRepresentationResult<D extends Distance<D>>
The pointer representation of a hierarchical clustering. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
Clustering<M extends Model>
Result class for clusterings. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
static class  | 
EvaluateClustering.ScoreResult
Result object for outlier score judgements. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
Segments
Creates segments of two or more clusterings. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
IndexStatistics.IndexMetaResult
Result class. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
JudgeOutlierScores.ScoreResult
Result object for outlier score judgements. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
AprioriResult
Result class for Apriori Algorithm. 
 | 
class  | 
CollectionResult<O>
Simple 'collection' type of result. 
 | 
class  | 
HistogramResult<O>
Histogram result. 
 | 
class  | 
KNNDistanceOrderResult<D extends Distance<D>>
Wraps a list containing the knn distances. 
 | 
class  | 
OrderingFromDataStore<T extends Comparable<T>>
Result class providing an ordering backed by a hashmap. 
 | 
class  | 
ReferencePointsResult<O>
Result used in passing the reference points to the visualizers. 
 | 
class  | 
ScalesResult
Class to keep shared scales across visualizers. 
 | 
class  | 
SettingsResult
Result that keeps track of settings that were used in generating this
 particular result. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
ClusterOrderResult<D extends Distance<D>>
Class to store the result of an ordering clustering algorithm such as OPTICS. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
OutlierResult
Wrap a typical Outlier result, keeping direct references to the main result
 parts. 
 | 
| Modifier and Type | Class and Description | 
|---|---|
class  | 
SimpleParallel
Simple parallel projection
 
 Scaled space: reordered, scaled and inverted. 
 | 
| Modifier and Type | Field and Description | 
|---|---|
private BasicResult | 
AlgorithmStep.result
The algorithm output 
 |