Burning Sage: Reversing the Curse of Dimensionality in the Visualization of High-Dimensional Data

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 integrated seamlessly into grand tour algorithm, we have called it burning sage tour, indicate reverses curse. The work implemented tourr package R. Several case studies are included show how visualizations enhance exploratory clustering classification problems. Supplementary files for article available online.