hclust_points: Identify clusters within a numeric integer vector

In taiawu/dsfworld_package: Visualizes and Analyzes Differential Scanning Fluorimetry Data

Identify clusters within a numeric integer vector

Description

A helper function to cluster_estimates. Given a numeric integer vector, constructs a self-by-self dissimilarity matrix. Applies hclust to this matrix to identify clusters within the input vector. Output is passed back to cluster_estimates.

Usage

hclust_points(points)

Arguments

points

numeric vector of integrers containing values to be clustered.

Value

object as returned by hclust on a self-by-self distance matrix constructed from the supplied points vector.

See Also

cluster_estimates

taiawu/dsfworld_package documentation built on June 18, 2024, 5:39 a.m.