Dimensionality reduction methods are fundamental to the exploration and visualisation of large data sets. Basic requirements for unsupervised data exploration are flexibility and scalability. However. current methods have computational limitations that restrict our ability to explore data structures to the lower range of scales. https://www.roneverhart.com/