Kernel KMeans clustering splits for end-to-end unsupervised decision trees

Louis Ohl, Pierre-Alexandre Mattei, Mickaël Leclercq +2

Trees are convenient models for obtaining explainable predictions on relatively small datasets. Although there are many proposals for the end-to-end construction of such trees in s…