cluster_dist: Calculate the distance matrix between clusters.

In kelly-ly/RMaCzek: Czekanowski's Diagrams

Calculate the distance matrix between clusters.

Description

Calculate the distance matrix for a czek_matrix with clustering result or a data set with its clustering labels.

Usage

cluster_dist(x, y, distfun = dist, dist_method = "average")

Arguments

x	A data set or a matrix with class czek_matrix.
y	If x is the data set, y is the cluster label.
distfun	Specifies which distance function should be used.
dist_method	Four linkage criteria: single, complete, average and SSD.

Value

A distance matrix.

Examples

# Clustering Result on czek_matrix
x = czek_matrix(iris[,-5], cluster = TRUE, num_cluster = 3)
dist_czek = cluster_dist(x)
plot(czek_matrix(dist_czek))

# Clustering Result on a Data Set with Clustering Labels
dist_data = cluster_dist(x = iris[,-5], y = iris$Species)
plot(czek_matrix(dist_data))

kelly-ly/RMaCzek documentation built on Sept. 15, 2022, 7:31 p.m.