Description Usage Arguments Details Value Author(s) Examples

View source: R/clusterDistance.R

To calculate the distance between clusters depending on the approach and distance type.

1 | ```
clusterDistance(cluster1, cluster2, approach, distance)
``` |

`cluster1` |
is a matrix |

`cluster2` |
is a matrix |

`approach` |
is a string. Type of function to apply. |

`distance` |
is a string. Type of distance to use. |

This function is part of the hierarchical clusterization method. The function calculates the
final distance between `cluster1`

and `cluster2`

applying the approach definition, using the distance type given.

`approach`

indicates the algorithm used to get the value. `distance`

indicates the distance used to get the value. Possible values: `'MAX'`

,
`'MIN'`

, `'AVG'`

.

Distance between clusters.

Roberto Alcántara roberto.alcantara@edu.uah.es

Juan José Cuadrado jjcg@uah.es

Universidad de Alcalá de Henares

1 2 3 4 5 6 | ```
cluster1 <- matrix(c(1,2),ncol=2)
cluster2 <- matrix(c(1,4),ncol=2)
clusterDistance.details(cluster1,cluster2,'AVG','MAN')
clusterDistance.details(cluster1,cluster2,'MAX','OCT')
``` |

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