is an option for ClusteringTree and Dendrogram that specifies the intercluster dissimilarity.
ClusterDissimilarityFunction
is an option for ClusteringTree and Dendrogram that specifies the intercluster dissimilarity.
Details
- Possible settings for ClusterDissimilarityFunction include:
-
"Single" smallest intercluster dissimilarity"Average" average intercluster dissimilarity"Complete" largest intercluster dissimilarity"WeightedAverage" weighted average intercluster dissimilarity"Centroid" distance from cluster centroids"Median" distance from cluster medians"Ward" Ward's minimum variance dissimilarity a pure function
- The function f defines a distance from any two clusters.
- The function f needs to be a real valued function of the DistanceMatrix .
Examples
Basic Examples (1)
Obtain a cluster hierarchy from a list of colors:
Compare it with the clustering obtained using different cluster dissimilarities:
Show the same results using dendrograms:
See Also
Related Guides
History
Text
Wolfram Research (2016), ClusterDissimilarityFunction, Wolfram Language function, https://reference.wolfram.com/language/ref/ClusterDissimilarityFunction.html.
CMS
Wolfram Language. 2016. "ClusterDissimilarityFunction." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/ref/ClusterDissimilarityFunction.html.
APA
Wolfram Language. (2016). ClusterDissimilarityFunction. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/ClusterDissimilarityFunction.html
BibTeX
@misc{reference.wolfram_2025_clusterdissimilarityfunction, author="Wolfram Research", title="{ClusterDissimilarityFunction}", year="2016", howpublished="\url{https://reference.wolfram.com/language/ref/ClusterDissimilarityFunction.html}", note=[Accessed: 05-December-2025]}
BibLaTeX
@online{reference.wolfram_2025_clusterdissimilarityfunction, organization={Wolfram Research}, title={ClusterDissimilarityFunction}, year={2016}, url={https://reference.wolfram.com/language/ref/ClusterDissimilarityFunction.html}, note=[Accessed: 05-December-2025]}