Kavli Affiliate: Maria Monzani | Summary:In this article we describe Cohort Organized Learning (CoOL), a method for clustering data without explicit distance or similarity computations. Herein, we will describe CoOL, derive the gradients determined by expectation maximization to train the networks, show how to monitor convergence during training and evaluate the clusters after training, and […]
Continue.. Cohort Organized Learning: Clustering Through Agreement