initClusters.details {LearnClust}

To explain how to initialize clusters for the divisive algorithm.

Description

To explain how to initialize clusters for the divisive algorithm.

Usage

initClusters.details(initList)

Arguments

initList

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

Details

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.

Value

A cluster list. Explanation.

Author(s)

Roberto Alcántara [e-mail]

Juan José Cuadrado [e-mail]

Universidad de Alcalá de Henares

Examples

data <- c(1:8)

matrix <- matrix(data, ncol=2)

listData <- toListDivisive(data)

listMatrix <- toListDivisive(matrix)

initClusters.details(listData)

initClusters.details(listMatrix)