By any chance has anybody put this into Python?
Mcquitty had a series of methods that identified "siblings", then "cousins", and "second cousins" and so forth. By any chance has anybody put this into Python?
In the early 70s Lorr had a method of clustering based on the values of
correlations or distances. r correlations for variables, and Q
correlations for entities. One specified a minimum coefficient for
inclusion in a cluster and a maximum coefficient for inclusion in a
cluster. One feature of this method was that some items would be left
unclustered or outliers. For example, Los Angeles county stayed as its
own cluster.
