DBSCAN
DBSCAN is a clustering algorithm that works by choosing points and making a radius around that point to find how many points are within the radius. This is effectively how it builds the clusters.
I used the features Age, Threat Level, Mental Illness and race to find clusters in the data using DBSCAN. The means returned by this analysis showed the first cluster with white victims with an average age of around 40. Another cluster had Hispanic people with an average age of around 39.