I am doing my first cluster analysis with Orange (which I recently discovered and looks promising for this iterative and interactive process).
Apparently, there are several methods of creating clusters based on distance algorithm:
- Single linkage (which computes the distance between the closest elements of the two clusters)
- Average linkage (which computes the average distance between elements of the two clusters)
- Complete linkage (which computes the distance between the clusters’ most distant elements)
- Weighted linkage
Since I have several columns, and some of them are more important than others in terms of defining clusters, it seems to me that using weighted linkage method may be what I am looking for. Unfortunately, I don't know how to do that, since I didn't find a way to assign a weight to each column.
To make things worse, I have only found an explanation about the first three on this Orange's blog post but nothing about Weighted linkage (nor Ward, which may be a recent addition, since it is not even mentioned on widget's help).
Am I on the right path to achieve what I am looking for? Is there any way to make some columns more or less important/definitory when calculating the distances?