Package | Description |
---|---|
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical |
Hierarchical agglomerative clustering (HAC).
|
de.lmu.ifi.dbs.elki.algorithm.clustering.optics |
OPTICS family of clustering algorithms.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.subspace |
Axis-parallel subspace clustering algorithms.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain |
Clustering algorithms for uncertain data.
|
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.outlier |
Outlier result classes
|
Modifier and Type | Class and Description |
---|---|
class |
PointerDensityHierarchyRepresentationResult
Extended pointer representation useful for HDBSCAN.
|
class |
PointerHierarchyRepresentationResult
The pointer representation of a hierarchical clustering.
|
Modifier and Type | Class and Description |
---|---|
class |
ClusterOrder
Class to store the result of an ordering clustering algorithm such as OPTICS.
|
class |
CorrelationClusterOrder
Cluster order entry for correlation-based OPTICS variants.
|
Modifier and Type | Class and Description |
---|---|
static class |
DiSH.DiSHClusterOrder
DiSH cluster order.
|
Modifier and Type | Class and Description |
---|---|
static class |
RepresentativeUncertainClustering.RepresentativenessEvaluation
Representativeness evaluation result.
|
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 |
CollectionResult<O>
Simple 'collection' type of result.
|
class |
EvaluationResult
Abstract evaluation result.
|
class |
FrequentItemsetsResult
Result class for Apriori Algorithm.
|
class |
HistogramResult<O>
Histogram result.
|
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 |
OutlierResult
Wrap a typical Outlier result, keeping direct references to the main result
parts.
|
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.