Package | Description |
---|---|
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical |
Hierarchical agglomerative clustering (HAC).
|
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction |
Extraction of partitional clusterings from hierarchical results.
|
de.lmu.ifi.dbs.elki.evaluation.clustering.extractor |
Classes to extract clusterings from hierarchical clustering.
|
tutorial.clustering |
Classes from the tutorial on implementing a custom k-means variation
|
Modifier and Type | Class and Description |
---|---|
class |
PointerDensityHierarchyRepresentationResult
Extended pointer representation useful for HDBSCAN.
|
class |
PointerPrototypeHierarchyRepresentationResult
Hierarchical clustering with prototypes (used by
MiniMax ). |
Modifier and Type | Method and Description |
---|---|
PointerHierarchyRepresentationResult |
PointerHierarchyRepresentationBuilder.complete()
Finalize the result.
|
PointerHierarchyRepresentationResult |
HierarchicalClusteringAlgorithm.run(Database db) |
PointerHierarchyRepresentationResult |
NNChain.run(Database db,
Relation<O> relation)
Run the algorithm
|
PointerHierarchyRepresentationResult |
AGNES.run(Database db,
Relation<O> relation)
Run the algorithm
|
PointerHierarchyRepresentationResult |
SLINK.run(Database database,
Relation<O> relation)
Performs the SLINK algorithm on the given database.
|
PointerHierarchyRepresentationResult |
MiniMaxAnderberg.run(Database db,
Relation<O> relation)
Run the algorithm
|
PointerHierarchyRepresentationResult |
AnderbergHierarchicalClustering.run(Database db,
Relation<O> relation)
Run the algorithm
|
Modifier and Type | Field and Description |
---|---|
protected PointerHierarchyRepresentationResult |
SimplifiedHierarchyExtraction.Instance.pointerresult
The hierarchical result to process.
|
protected PointerHierarchyRepresentationResult |
HDBSCANHierarchyExtraction.Instance.pointerresult
The hierarchical result to process.
|
protected PointerHierarchyRepresentationResult |
ClustersWithNoiseExtraction.Instance.pointerresult
The hierarchical result to process.
|
protected PointerHierarchyRepresentationResult |
AbstractCutDendrogram.Instance.pointerresult
The hierarchical result to process.
|
Modifier and Type | Method and Description |
---|---|
Clustering<DendrogramModel> |
CutDendrogramByNumberOfClusters.run(PointerHierarchyRepresentationResult pointerresult) |
Clustering<DendrogramModel> |
CutDendrogramByHeight.run(PointerHierarchyRepresentationResult pointerresult) |
Clustering<DendrogramModel> |
SimplifiedHierarchyExtraction.run(PointerHierarchyRepresentationResult pointerresult)
Process an existing result.
|
Clustering<DendrogramModel> |
HDBSCANHierarchyExtraction.run(PointerHierarchyRepresentationResult pointerresult)
Process an existing result.
|
Clustering<Model> |
ClustersWithNoiseExtraction.run(PointerHierarchyRepresentationResult pointerresult)
Process an existing result.
|
abstract Clustering<DendrogramModel> |
AbstractCutDendrogram.run(PointerHierarchyRepresentationResult pointerresult)
Process a pointer hierarchy result.
|
Constructor and Description |
---|
Instance(PointerHierarchyRepresentationResult pointerresult)
Constructor.
|
Instance(PointerHierarchyRepresentationResult pointerresult)
Constructor.
|
Instance(PointerHierarchyRepresentationResult pointerresult)
Constructor.
|
Instance(PointerHierarchyRepresentationResult pointerresult)
Constructor.
|
Instance(PointerHierarchyRepresentationResult pointerresult)
Constructor.
|
Instance(PointerHierarchyRepresentationResult pointerresult)
Constructor.
|
Modifier and Type | Method and Description |
---|---|
PointerHierarchyRepresentationResult |
CutDendrogramByHeightExtractor.DummyHierarchicalClusteringAlgorithm.run(Database db) |
Modifier and Type | Method and Description |
---|---|
PointerHierarchyRepresentationResult |
NaiveAgglomerativeHierarchicalClustering4.run(Database db,
Relation<O> relation)
Run the algorithm
|
Copyright © 2019 ELKI Development Team. License information.