Hierarchical Clustering

Produce nested sets of clusters

Hierarchical clustering groups data into a multilevel cluster tree or dendrogram. If your data is hierarchical, this technique can help you choose the level of clustering that is most appropriate for your application.

Live Editor Tasks

Cluster Data

Cluster data using k-means or hierarchical clustering in the Live Editor (Since R2021b)

Functions

`cluster`	Construct agglomerative clusters from linkages
`clusterdata`	Construct agglomerative clusters from data
`cophenet`	Cophenetic correlation coefficient
`inconsistent`	Inconsistency coefficient
`linkage`	Agglomerative hierarchical cluster tree
`pdist`	Pairwise distance between pairs of observations
`squareform`	Format distance matrix

Topics

Hierarchical Clustering
Group data into a multilevel hierarchy of clusters.

Related Information

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