Density Estimation Trees in High Energy Physics
Applications
2015-02-04 v1 High Energy Physics - Experiment
Data Analysis, Statistics and Probability
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.
Cite
@article{arxiv.1502.00932,
title = {Density Estimation Trees in High Energy Physics},
author = {Lucio Anderlini},
journal= {arXiv preprint arXiv:1502.00932},
year = {2015}
}