initClusters.details: To explain how to initialize clusters for the divisive...
In LearnClust: Learning Hierarchical Clustering Algorithms

Description Usage Arguments Details Value Author(s) Examples

To explain how to initialize clusters for the divisive algorithm.

1	initClusters.details(initList)

initList

is a clusters list. It will contain clusters with one element.

This function will explain how to calculate every cluster that can be created by joining initial clusters with each other. It creates clusters from length = 1 until a cluster with every element is created.

These clusters will be used to find the most different clusters that we can create by dividing the initial cluster.

A cluster list. Explanation.

Roberto Alcántara roberto.alcantara@edu.uah.es

Juan José Cuadrado jjcg@uah.es

Universidad de Alcalá de Henares

data <- c(1:8)

matrix <- matrix(data, ncol=2)

listData <- toListDivisive(data)

listMatrix <- toListDivisive(matrix)

initClusters.details(listData)

initClusters.details(listMatrix)