HierarchicalClustering`
HierarchicalClustering`

Cluster

Cluster[c1,c2,d,n1,n2]

represents a merger of the clusters c1 and c2 with dissimilarity d and n1 and n2 data elements, respectively.

Details and Options

  • To use Cluster, you first need to load the Hierarchical Clustering Package using Needs["HierarchicalClustering`"].
  • A Cluster object represents a cluster hierarchy of a dataset.
  • The clusters c1 and c2 can be Cluster objects or single data elements.
  • The hierarchy may be viewed using DendrogramPlot.

Examples

Basic Examples  (1)

Cluster obtained from hierarchical clustering:

Wolfram Research (2007), Cluster, Wolfram Language function, https://reference.wolfram.com/language/HierarchicalClustering/ref/Cluster.html.

Text

Wolfram Research (2007), Cluster, Wolfram Language function, https://reference.wolfram.com/language/HierarchicalClustering/ref/Cluster.html.

CMS

Wolfram Language. 2007. "Cluster." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/HierarchicalClustering/ref/Cluster.html.

APA

Wolfram Language. (2007). Cluster. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/HierarchicalClustering/ref/Cluster.html

BibTeX

@misc{reference.wolfram_2024_cluster, author="Wolfram Research", title="{Cluster}", year="2007", howpublished="\url{https://reference.wolfram.com/language/HierarchicalClustering/ref/Cluster.html}", note=[Accessed: 28-May-2024 ]}

BibLaTeX

@online{reference.wolfram_2024_cluster, organization={Wolfram Research}, title={Cluster}, year={2007}, url={https://reference.wolfram.com/language/HierarchicalClustering/ref/Cluster.html}, note=[Accessed: 28-May-2024 ]}