Here's the real problem: suppose you have a bunch of data on people and are convinced that somewhere in the data exists the spectrum from sociopath to non-socio

Here's the real problem: suppose you have a bunch of data on people and are convinced that somewhere in the data exists the spectrum from sociopath to non-sociopath. Who is going to label the data with ground truth? Clinicians who "know it when they see it"? What is the ground truth that the classifier is going to train on? If you're going to do an unsupervised classifier (eg clustering) who is going to label the clusters? What is going to keep the data from turning into uncorrelated mush?