|
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. |