mdAgglomerative: Matrix distance by distance and approach type.

In LearnClust: Learning Hierarchical Clustering Algorithms

Description

To calculate the matrix distance by using distance and approach type.

Usage

mdAgglomerative(list, distance, approach)

Arguments

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.

Details

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.

Value

A matrix distance.

Author(s)

Roberto Alcántara [e-mail]

Juan José Cuadrado [e-mail]

Universidad de Alcalá de Henares

Examples

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

clusters <- toList(data)

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

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

LearnClust documentation built on Nov. 30, 2020, 1:09 a.m.