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

## Description

To explain how to initialize clusters for the divisive algorithm.

## Usage

 `1` ```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 roberto.alcantara@edu.uah.es

 ``` 1 2 3 4 5 6 7 8 9 10 11``` ```data <- c(1:8) matrix <- matrix(data, ncol=2) listData <- toListDivisive(data) listMatrix <- toListDivisive(matrix) initClusters.details(listData) initClusters.details(listMatrix) ```