Add "seed" clustering algorithm:
Add "seed" clustering algorithm:

- for i in range(m):
    - select only those points that don't already belong to a cluster
    - choose high density point as seed for cluster
    - for each dataset find closest copy to centroid of current cluster and assign to current cluster
- hierarchical clustering of cluster centroids using cosine metric
- silhouette analysis of valid (equal-sized) clusterings

dials/dials,dials/dials,dials/dials,dials/dials,dials/dials