**Class Summary** |

**Centroid** |
The proximity of two clusters is the proximity of the
cluster centroids. |

**CompleteLink** |
The proximity of two clusters is the proximity
of the points that are least proximate in the two clusters. |

**Median** |
Much like the **Centroid**-Method, but the centroid is
computed as if the two clusters would have had the same number
of data points. |

**SingleLink** |
The proximity of two clusters is the proximity
of the most proximate points in the two clusters. |

**UnweightedAverageLink** |
The proximity of two clusters is the
average proximity two both clusters. |

**WardsMethod** |
The proximity of two clusters is the proximity
in terms of the increase of the **SSE** (Summed Squared Error) that would
result from merging the two clusters (based on their centroids).
Thus always the merge is taken that results in the smallest increase of the
**SSE**.
This method needs a distance measure as `Proximity` . |

**WeightedAverageLink** |
The proximity of two clusters is the
average pairwise proximity of all pairs of points from the different
clusters. |