The article discusses different types of clustering algorithms, focusing on hierarchical clustering. This technique groups similar data points together to form clusters. The researchers compare different hierarchical clustering methods based on factors like dataset size, accuracy, and efficiency. The goal is to help new researchers understand how these algorithms work and potentially improve upon them.