Uses of Package
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical

Packages that use de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical

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

Classes in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical used by de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical

Class and Description
AbstractHDBSCAN Abstract base class for HDBSCAN variations.
AbstractHDBSCAN.Parameterizer Parameterization class
AGNES Hierarchical Agglomerative Clustering (HAC) or Agglomerative Nesting (AGNES) is a classic hierarchical clustering algorithm.
AGNES.Parameterizer Parameterization class
AnderbergHierarchicalClustering This is a modification of the classic AGNES algorithm for hierarchical clustering using a nearest-neighbor heuristic for acceleration.
CLINK CLINK algorithm for complete linkage.
HDBSCANLinearMemory Linear memory implementation of HDBSCAN clustering.
HierarchicalClusteringAlgorithm Interface for hierarchical clustering algorithms.
MatrixParadigm Shared code for algorithms that work on a strict matrix paradigm.
MiniMax Minimax Linkage clustering.
MiniMaxAnderberg This is a modification of the classic MiniMax algorithm for hierarchical clustering using a nearest-neighbor heuristic for acceleration.
MiniMaxNNChain MiniMax hierarchical clustering using the NNchain algorithm.
NNChain NNchain clustering algorithm.
PointerDensityHierarchyRepresentationResult Extended pointer representation useful for HDBSCAN.
PointerHierarchyRepresentationBuilder Class to help building a pointer hierarchy.
PointerHierarchyRepresentationResult The pointer representation of a hierarchical clustering.
PointerPrototypeHierarchyRepresentationResult Hierarchical clustering with prototypes (used by MiniMax).
SLINK Implementation of the efficient Single-Link Algorithm SLINK of R.
SLINKHDBSCANLinearMemory Linear memory implementation of HDBSCAN clustering based on SLINK.

Classes in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical used by de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction

Class and Description
HierarchicalClusteringAlgorithm Interface for hierarchical clustering algorithms.
PointerHierarchyRepresentationResult The pointer representation of a hierarchical clustering.

Classes in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical used by de.lmu.ifi.dbs.elki.evaluation.clustering.extractor

Class and Description
HierarchicalClusteringAlgorithm Interface for hierarchical clustering algorithms.
PointerHierarchyRepresentationResult The pointer representation of a hierarchical clustering.

Classes in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical used by tutorial.clustering

Class and Description
HierarchicalClusteringAlgorithm Interface for hierarchical clustering algorithms.
PointerHierarchyRepresentationResult The pointer representation of a hierarchical clustering.