| mdDivisive {LearnClust} | R Documentation |
Matrix distance by distance and approach type.
Description
To calculate the matrix distance by using distance and approach types.
Usage
mdDivisive(list, distance, approach, components)
Arguments
list |
is a clusters list. |
distance |
is a string. The distance type to be used. |
approach |
is a string. The approach type to be used. |
components |
is a clusters list. It contains every clusters with only one element. It is used to check if complementary condition is 'TRUE'. |
Details
This function is part of the divisive hierarchical clusterization method. The function calculates the matrix distance by using the distance and approach types given.
The list parameter will be a list with the clusters as rows and columns.
The function avoids distances equal 0 and undefined clusters.
It also avoids distances between clusters that are not complementary because they can't be chosen to divide all the clusters.
Value
Matrix distance.
Author(s)
Roberto Alcántara roberto.alcantara@edu.uah.es
Juan José Cuadrado jjcg@uah.es
Universidad de Alcalá de Henares
Examples
data <- c(1,2,1,3,1,4,1,5,1,6)
clusters <- toList(data)
components <- toList(data)
mdDivisive(clusters, 'EUC', 'MAX', components)
mdDivisive(clusters, 'MAN', 'MIN', components)