Enumerates the possible linkage methods in hierarchical cluster analysis.
Namespace:
Extreme.Statistics.Multivariate
Assembly:
Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.1
public enum LinkageMethod
Public Enumeration LinkageMethod
public enum class LinkageMethod
|
| Member name | Value | Description |
|---|
| Single | 0 |
The distance between two clusters is the distance between their closest neighboring points.
|
| Complete | 1 |
The distance between two clusters is the distance between their two furthest member points.
|
| Average | 2 |
Also called unweighted pair-group method using averages (UPGMA).
The distance between two clusters is the average distance between all inter-cluster pairs.
|
| Ward | 3 |
The cluster to be merged is the one which will produce the least increase in
the sum of squared Euclidean distances from each case in a cluster to the mean of all variables.
|
| Median | 4 |
Also called unweighted pair-group method using centroid averages (UPGMC).
The cluster to be merged is the one with the smallest sum of Euclidean distances between cluster means (centroids) for all variables.
|
| McQuitty | 5 |
The distance between a cluster and a newly merged cluster is the mean of the distance between the cluster and each of the two
component clusters.
|
| Centroid | 6 |
The distance between two clusters is the distance between the centroids or the means of the clusters.
|
Reference