cut_clusters: Cut a hierarchical tree targeting k clusters
In visxhclust: A Shiny App for Visual Exploration of Hierarchical Clustering
View source: R/utils_clustering.R
cut_clusters R Documentation
Cut a hierarchical tree targeting k clusters
Description
Cut a hierarchical tree targeting k clusters
Usage
cut_clusters(clusters, k)
Arguments
clusters
cluster results, produced by e.g. fastcluster::hclust()
k
target number of clusters
Value
cluster labels
Examples
dmat <- compute_dmat(iris, "euclidean", TRUE, c("Petal.Length", "Sepal.Length"))
clusters <- compute_clusters(dmat, "complete")
cluster_labels <- cut_clusters(clusters, 2)
head(cluster_labels)
visxhclust documentation built on March 31, 2023, 7:30 p.m.
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View source: R/utils_clustering.R
| cut_clusters | R Documentation |
Cut a hierarchical tree targeting k clusters
Description
Cut a hierarchical tree targeting k clusters
Usage
cut_clusters(clusters, k)
Arguments
clusters |
cluster results, produced by e.g. |
k |
target number of clusters |
Value
cluster labels
Examples
dmat <- compute_dmat(iris, "euclidean", TRUE, c("Petal.Length", "Sepal.Length"))
clusters <- compute_clusters(dmat, "complete")
cluster_labels <- cut_clusters(clusters, 2)
head(cluster_labels)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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