Density Estimation Trees in High Energy Physics
L. Anderlini · arXiv (Cornell University) · 2015
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.