Poetry Clustering is a method of clustering poems based on their multi-dimensional features. It uses machine learning algorithms to identify similarities and differences between poems, and then groups them into clusters based on these similarities. This approach can help researchers understand the structure and themes of different poetic traditions, as well as identify new trends and movements in poetry.