| mdDivisive.details {LearnClust} | R Documentation |
Matrix distance by distance and approach type.
Description
To explain how to calculate the matrix distance by using distance and approach types.
Usage
mdDivisive.details(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. Explanation.
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.details(clusters, 'EUC', 'MAX', components)
mdDivisive.details(clusters, 'MAN', 'MIN', components)