In high-dimensional data analysis, the curse of dimensionality reasons that points tend to be far away from center distribution and on edge space. Contrary this, is projected tends clump at center. This gives a sense any structure near projection obscured, whether this true or not. A geometric transformation reverse curse, defined in article, which uses radial transformations data. It integrate...