What do CPL branch libraries have in common?

As we finish our omnibus white paper on the project, some maps and visualizations have been augmented to include the latest book seasons and recolored to show the branch clusters and checkouts per book. We’ve also excerpted some of the explanation.

 

 

In order to create Figure C, we performed unsupervised clustering of the branches based on their demographic characteristics. We used the Partitioning Around Medioids (PAM) algorithm [Kaufman 1990], which is known to be more robust to noise and outliers compared to the more widely-used k-means algorithm. PAM is more computationally-intensiveRead more