The article explores different ways to measure differences between sets of data, using 11 different methods. Some of these methods involve logarithms, like Jeffryes-Kullback-Leiber and J-divergence, while others do not. The researchers also looked at mean divergences and found various inequalities between these measures. By comparing these differences, they discovered new relationships and patterns among the divergence measures.