Currently Being Moderated
Paul,
Can you be more specific about what exactly you are trying to achieve? What are the differences among the 10 runs? Do you use different settings or different data?
To compare 2 different models, one can consider things like:
1. How similar the hierarchical trees are (depth, branching out)
2. The distribution of data records among clusters (avg, min, max, etc.)
3. If you have class labels, calculate cluster purity - how many of the points within a cluster belong to the same class on average
Lastly, if you have the same data across models, you can use the cluster assignments of 2 models and calculate what percentage of the points fall in the same clusters. To do that you can consider all possible pairs and count how many pairs fall in the same cluster in both models.
I hope this helps,
Boriana