compute_clusters: Compute clusters hierarchically from distance matrix
In visxhclust: A Shiny App for Visual Exploration of Hierarchical Clustering
View source: R/utils_clustering.R
compute_clusters R Documentation
Compute clusters hierarchically from distance matrix
Description
Compute clusters hierarchically from distance matrix
Usage
compute_clusters(dmat, linkage_method)
Arguments
dmat
a distance matrix
linkage_method
a linkage method supported by fastcluster::hclust()
Value
clusters computed by fastcluster::hclust()
Examples
dmat <- compute_dmat(iris, "euclidean", TRUE, c("Petal.Length", "Sepal.Length"))
res <- compute_clusters(dmat, "complete")
visxhclust documentation built on March 31, 2023, 7:30 p.m.
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View source: R/utils_clustering.R
| compute_clusters | R Documentation |
Compute clusters hierarchically from distance matrix
Description
Compute clusters hierarchically from distance matrix
Usage
compute_clusters(dmat, linkage_method)
Arguments
dmat |
a distance matrix |
linkage_method |
a linkage method supported by |
Value
clusters computed by fastcluster::hclust()
Examples
dmat <- compute_dmat(iris, "euclidean", TRUE, c("Petal.Length", "Sepal.Length"))
res <- compute_clusters(dmat, "complete")
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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