| Package | Description |
|---|---|
| de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical | |
| tutorial.clustering |
Classes from the tutorial on implementing a custom k-means variation.
|
| Class and Description |
|---|
| CentroidLinkageMethod
Centroid linkage clustering method, aka UPGMC: Unweighted Pair-Group Method
using Centroids.
|
| CompleteLinkageMethod
Complete-linkage clustering method.
|
| ExtractFlatClusteringFromHierarchy
Extract a flat clustering from a full hierarchy, represented in pointer form.
|
| ExtractFlatClusteringFromHierarchy.OutputMode
Output mode.
|
| ExtractFlatClusteringFromHierarchy.ThresholdMode
Threshold mode.
|
| GroupAverageLinkageMethod
Group-average linkage clustering method.
|
| HierarchicalClusteringAlgorithm
Interface for hierarchical clustering algorithms.
|
| LinkageMethod
Abstract interface for implementing a new linkage method into hierarchical
clustering.
|
| MedianLinkageMethod
Median-linkage clustering method: Weighted pair group method using centroids
(WPGMC).
|
| NaiveAgglomerativeHierarchicalClustering
This tutorial will step you through implementing a well known clustering
algorithm, agglomerative hierarchical clustering, in multiple steps.
|
| PointerHierarchyRepresentationResult
The pointer representation of a hierarchical clustering.
|
| SingleLinkageMethod
Single-linkage clustering method.
|
| SLINK
Implementation of the efficient Single-Link Algorithm SLINK of R.
|
| WardLinkageMethod
Ward's method clustering method.
|
| WeightedAverageLinkageMethod
Weighted average linkage clustering method.
|
| Class and Description |
|---|
| HierarchicalClusteringAlgorithm
Interface for hierarchical clustering algorithms.
|
| PointerHierarchyRepresentationResult
The pointer representation of a hierarchical clustering.
|