Description Usage Arguments Details Value Author(s) Examples

View source: R/mdAgglomerative.R

To calculate the matrix distance by using `distance`

and `approach`

type.

1 | ```
mdAgglomerative(list, distance, approach)
``` |

`list` |
is a clusters list. |

`distance` |
is a literal. The distance type to be used. |

`approach` |
is a literal. The approach type to be used. |

This function is part of the hierarchical clusterization method. The function calculates the matrix distance by using the distance and approach type given.

The `list`

parameter will be a list with the clusters as rows and columns.

The function avoids distances equal 0 and undefined clusters.

A matrix distance.

Roberto Alcántara roberto.alcantara@edu.uah.es

Juan José Cuadrado jjcg@uah.es

Universidad de Alcalá de Henares

1 2 3 4 5 6 7 | ```
data <- c(1,2,1,3,1,4,1,5,1,6)
clusters <- toList(data)
mdAgglomerative(clusters, 'EUC', 'MAX')
mdAgglomerative(clusters, 'CHE', 'AVG')
``` |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.