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
The clustering algorithms in this package are instances of both, projected
clustering algorithms or subspace clustering algorithms according to the
classical but somewhat obsolete classification schema of clustering
algorithms for axis-parallel subspaces.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain |
Clustering algorithms for uncertain data.
|
de.lmu.ifi.dbs.elki.algorithm.timeseries |
Algorithms for change point detection in time series.
|
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)
|
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.
|
class |
PointerPrototypeHierarchyRepresentationResult
Hierarchical clustering with prototypes (used by
MiniMax ). |
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 |
ChangePoints
Change point detection result Used by change or trend detection algorithms
TODO: we need access to the data labels / timestamp information!
|
Modifier and Type | Class and Description |
---|---|
class |
Clustering<M extends Model>
Result class for clusterings.
|
Modifier and Type | Class and Description |
---|---|
class |
AbstractDatabase
Abstract base class for database API implementations.
|
class |
HashmapDatabase
Database storing data using hashtable storage, and thus allowing additional
and removal of objects.
|
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 |
AbstractRelation<O>
Abstract base class for relations.
|
class |
ConvertToStringView
Representation adapter that uses toString() to produce a string
representation.
|
class |
DBIDView
Pseudo-representation that is the object ID itself.
|
class |
MaterializedDoubleRelation
Represents a single representation.
|
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 |
AssociationRuleResult
Result class for association rule mining
|
class |
BasicResult
Basic class for a result.
|
class |
CollectionResult<O>
Simple 'collection' type of result.
|
class |
EvaluationResult
Abstract evaluation result.
|
class |
FrequentItemsetsResult
Result class for frequent itemset mining algorithms.
|
class |
HistogramResult
Histogram result.
|
class |
OrderingFromDataStore<T extends java.lang.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 © 2019 ELKI Development Team. License information.