Dirichlet process mixtures under affine transformations of the data
Dirichlet process mixtures under affine transformations of the data
Abstract Location-scale Dirichlet process mixtures of Gaussians (DPM-G) have proved extremely useful in dealing with density estimation and clustering problems in a wide range of domains. Motivated by an astronomical application, in this work we address the robustness of DPM-G models to affine transformations of the data, a natural requirement …