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Density Estimation Trees in High Energy Physics (1502.00932v1)
Published 3 Feb 2015 in stat.AP, hep-ex, and physics.data-an
Abstract: Density Estimation Trees can play an important role in exploratory data analysis for multidimensional, multi-modal data models of large samples. I briefly discuss the algorithm, a self-optimization technique based on kernel density estimation, and some applications in High Energy Physics.
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