s.cluster.h: Hierarchical Clustering

In ldt: Automated Uncertainty Analysis

Hierarchical Clustering

Description

This function performs hierarchical clustering on a group of variables, given their distances from each other.

Usage

s.cluster.h(distances, linkage = "single")

Arguments

distances	Lower triangle of a symmetric distance matrix (without the diagonal). This can be the output of s.distance function.
linkage	Character string specifying the method for calculating the distance in a left-right node merge. It can be single, complete, uAverage, wAverage, or ward.

Details

The main purpose of exporting this statistics helper method is to show the inner calculations of the package.

Value

A list with the following items:

merge	An integer matrix representing the merge matrix.
height	A numeric vector representing the heights.
order	An integer vector representing the orders.

Examples

n <- 10
data <- data.frame(x = rnorm(n), y = rnorm(n), z = rnorm(n))
distances <- s.distance(data)
clusters <- s.cluster.h(distances)

ldt documentation built on Sept. 11, 2024, 5:25 p.m.