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.database |
ELKI database layer - loading, storing, indexing and accessing data
|
de.lmu.ifi.dbs.elki.database.relation |
Relations, materialized and virtual (views).
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de.lmu.ifi.dbs.elki.evaluation.clustering |
Evaluation of clustering results.
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de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments |
Pair-segment analysis of multiple clusterings.
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de.lmu.ifi.dbs.elki.evaluation.index |
Simple index evaluation methods
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de.lmu.ifi.dbs.elki.evaluation.outlier |
Evaluate an outlier score using a misclassification based cost model.
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de.lmu.ifi.dbs.elki.result |
Result types, representation and handling
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de.lmu.ifi.dbs.elki.result.optics |
Result classes for OPTICS.
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de.lmu.ifi.dbs.elki.result.outlier |
Outlier result classes
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de.lmu.ifi.dbs.elki.visualization.projections |
Visualization projections
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de.lmu.ifi.dbs.elki.visualization.projector |
Projectors are responsible for finding appropriate projections for data relations.
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Modifier and Type | Class and Description |
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class |
PointerHierarchyRepresentationResult<D extends Distance<D>>
The pointer representation of a hierarchical clustering.
|
Modifier and Type | Class and Description |
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class |
Clustering<M extends Model>
Result class for clusterings.
|
Modifier and Type | Class and Description |
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class |
AbstractDatabase
Abstract base class for database API implementations.
|
class |
HashmapDatabase
Provides a mapping for associations based on a Hashtable and functions to get
the next usable ID for insertion, making IDs reusable after deletion of the
entry.
|
class |
ProxyDatabase
A proxy database to use e.g. for projections and partitions.
|
class |
StaticArrayDatabase
This database class uses array-based storage and thus does not allow for
dynamic insert, delete and update operations.
|
Modifier and Type | Class and Description |
---|---|
class |
ConvertToStringView
Representation adapter that uses toString() to produce a string
representation.
|
class |
DBIDView
Pseudo-representation that is the object ID itself.
|
class |
MaterializedRelation<O>
Represents a single representation.
|
class |
ProjectedView<IN,OUT>
Projected relation view (non-materialized)
|
class |
ProxyView<O>
A virtual partitioning of the database.
|
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 |
BasicResult
Basic class for a result.
|
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 |
AbstractFullProjection
Abstract base class for full projections.
|
class |
AbstractProjection
Abstract base projection class.
|
class |
AbstractSimpleProjection
Abstract base class for "simple" projections.
|
class |
AffineProjection
Affine projections are the most general class.
|
class |
OPTICSProjection<D extends Distance<D>>
OPTICS projection.
|
class |
Simple1D
Dimension-selecting 1D projection.
|
class |
Simple2D
Dimension-selecting 2D projection.
|
class |
SimpleParallel
Simple parallel projection
Scaled space: reordered, scaled and inverted.
|
Modifier and Type | Class and Description |
---|---|
class |
HistogramProjector<V extends NumberVector<?>>
ScatterPlotProjector is responsible for producing a set of scatterplot
visualizations.
|
class |
OPTICSProjector<D extends Distance<D>>
Projection for OPTICS plots.
|
class |
ParallelPlotProjector<V extends NumberVector<?>>
ParallelPlotProjector is responsible for producing a parallel axes
visualization.
|
class |
ScatterPlotProjector<V extends NumberVector<?>>
ScatterPlotProjector is responsible for producing a set of scatterplot
visualizations.
|