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.
|
Modifier and Type | Class and Description |
---|---|
class |
AGNES<O>
Hierarchical Agglomerative Clustering (HAC) or Agglomerative Nesting (AGNES)
is a classic hierarchical clustering algorithm.
|
class |
AnderbergHierarchicalClustering<O>
This is a modification of the classic AGNES algorithm for hierarchical
clustering using a nearest-neighbor heuristic for acceleration.
|
class |
CLINK<O>
CLINK algorithm for complete linkage.
|
class |
HDBSCANLinearMemory<O>
Linear memory implementation of HDBSCAN clustering.
|
class |
SLINK<O>
Implementation of the efficient Single-Link Algorithm SLINK of R.
|
class |
SLINKHDBSCANLinearMemory<O>
Linear memory implementation of HDBSCAN clustering based on SLINK.
|
Modifier and Type | Field and Description |
---|---|
private HierarchicalClusteringAlgorithm |
SimplifiedHierarchyExtraction.algorithm
Clustering algorithm to run to obtain the hierarchy.
|
(package private) HierarchicalClusteringAlgorithm |
SimplifiedHierarchyExtraction.Parameterizer.algorithm
The hierarchical clustering algorithm to run.
|
private HierarchicalClusteringAlgorithm |
HDBSCANHierarchyExtraction.algorithm
Clustering algorithm to run to obtain the hierarchy.
|
(package private) HierarchicalClusteringAlgorithm |
HDBSCANHierarchyExtraction.Parameterizer.algorithm
The hierarchical clustering algorithm to run.
|
private HierarchicalClusteringAlgorithm |
ExtractFlatClusteringFromHierarchy.algorithm
Clustering algorithm to run to obtain the hierarchy.
|
(package private) HierarchicalClusteringAlgorithm |
ExtractFlatClusteringFromHierarchy.Parameterizer.algorithm
The hierarchical clustering algorithm to run.
|
Constructor and Description |
---|
ExtractFlatClusteringFromHierarchy(HierarchicalClusteringAlgorithm algorithm,
double threshold,
boolean hierarchical,
boolean nosingletons)
Constructor.
|
ExtractFlatClusteringFromHierarchy(HierarchicalClusteringAlgorithm algorithm,
int minclusters,
boolean hierarchical,
boolean nosingletons)
Constructor.
|
HDBSCANHierarchyExtraction(HierarchicalClusteringAlgorithm algorithm,
int minClSize,
boolean hierarchical)
Constructor.
|
SimplifiedHierarchyExtraction(HierarchicalClusteringAlgorithm algorithm,
int minClSize)
Constructor.
|
Modifier and Type | Class and Description |
---|---|
protected static class |
ExtractFlatClusteringFromHierarchyEvaluator.DummyHierarchicalClusteringAlgorithm
Dummy instance.
|
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.