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ClusterDissimilarityFunction—Wolfram Language Documentation

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ClusterDissimilarityFunction 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:

Wolfram Research (2016), ClusterDissimilarityFunction, Wolfram Language function, https://reference.wolfram.com/language/ref/ClusterDissimilarityFunction.html. 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.htmlBibTeX @misc{reference.wolfram_2025_clusterdissimilarityfunction, author="Wolfram Research", title="{ClusterDissimilarityFunction}", year="2016", howpublished="\url{https://reference.wolfram.com/language/ref/ClusterDissimilarityFunction.html}", note=[Accessed: 12-July-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: 12-July-2025 ]}

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