eLinkageMethods Enumeration
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Linkage methods of clustering.
Namespace:
MediaCy.Addins.Measurements
Assembly:
MediaCy.Addins.Measurements (in MediaCy.Addins.Measurements.dll) Version: 3.1.0.0
SyntaxPublic Enumeration eLinkageMethods
Members
| Member name | Value | Description |
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| eLMWardFunction | 0 |
Ward's method uses an analysis of variance approach to evaluate the distances between clusters.
The smaller the increase in the total within-group sum of squares as a result of joining two clusters,
the "closer" they are. The within-group sum of squares of a cluster is defined as the sum of the squares
of the distance between all objects in the cluster and the centroid of the cluster.
Ward's method tends to produce compact groups of well-distributed size.
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| eLMWeightedAverageFunction | 1 |
This method is sometimes referred to as "weighted pair-group method using arithmetic averages," and abbreviated WPGMA.
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| eLMSingleFunction | 2 |
Adopting a friends-of-friends clustering strategy closely related to the minimal spanning tree,
the single linkage method tends to result in long "chains" of clusters.
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| eLMMedianFunction | 3 |
This is sometimes referred to as "weighted pair-group method using the centroid average," and abbreviated WPGMC.
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| eLMCompleteFunction | 4 |
The complete linkage method tends to work well in cases where objects form naturally distinct "clumps."
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| eLMCentroidFunction | 5 |
The centroid of a cluster is the average point in the multidimensional space. The centroid method is sometimes
referred to as "unweighted pair-group method using the centroid average," and abbreviated UPGMC.
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Remarks
See Also