An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists
Statistics Theory
2021-02-26 v2 Machine Learning
Algebraic Topology
Machine Learning
Statistics Theory
Abstract
Topological Data Analysis is a recent and fast growing field providing a set of new topological and geometric tools to infer relevant features for possibly complex data. This paper is a brief introduction, through a few selected topics, to basic fundamental and practical aspects of \tda\ for non experts.
Keywords
Cite
@article{arxiv.1710.04019,
title = {An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists},
author = {Frédéric Chazal and Bertrand Michel},
journal= {arXiv preprint arXiv:1710.04019},
year = {2021}
}