Mode hunting through active information
Data Analysis, Statistics and Probability
2020-11-12 v1 Machine Learning
Methodology
Abstract
We propose a new method to find modes based on active information. We develop an algorithm that, when applied to the whole space, will say whether there are any modes present \textit{and} where they are; this algorithm will reduce the dimensionality without resorting to Principal Components; and more importantly, population-wise, will not detect modes when they are not present.
Cite
@article{arxiv.2011.05794,
title = {Mode hunting through active information},
author = {Daniel Andrés Díaz-Pachón and Juan Pablo Sáenz and J. Sunil Rao and Jean-Eudes Dazard},
journal= {arXiv preprint arXiv:2011.05794},
year = {2020}
}
Comments
12 pages