The article explores different ways to measure the difference between probability distributions. They look at various types of divergence measures, like relative information and Jensen-Shannon divergence, and find that they can all be seen as special cases of a broader concept called f-divergence. By studying these relationships, the researchers gain a better understanding of how these measures are connected.