STLGATMLOct 11, 2017

An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists

arXiv:1710.04019v2785 citations
AI Analysis

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.

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Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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