An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists
It serves as an introductory guide for data scientists to a growing field, but is incremental as it does not present new research findings.
The paper introduces Topological Data Analysis (TDA) as a set of topological and geometric tools for inferring features in complex data, aiming to provide a basic introduction to its fundamental and practical aspects for non-experts.
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.