mdAgglomerative.details: Matrix distance by distance and approach type.
In LearnClust: Learning Hierarchical Clustering Algorithms

Description Usage Arguments Details Value Author(s) Examples

View source: R/mdAgglomerative.details.R

To explain how to calculate the matrix distance by using distance and approach type.

1	mdAgglomerative.details(list, distance, approach)

`list`	is a clusters list.
`distance`	is a literal. The distance type to be used.
`approach`	is a literal. The approach type to be used.

This function is part of the hierarchical clusterization method. The function calculates the matrix distance by using the distance and approach type given.

The list parameter will be a list with the clusters as rows and columns.

The function avoids distances equal 0 and undefined clusters.

A matrix distance. Explanation.

Roberto Alcántara roberto.alcantara@edu.uah.es

Juan José Cuadrado jjcg@uah.es

Universidad de Alcalá de Henares

data <- c(1,2,1,3,1,4,1,5,1,6)

clusters <- toList(data)

mdAgglomerative.details(clusters, 'EUC', 'MAX')

mdAgglomerative.details(clusters, 'CHE', 'AVG')