A Review of the State-of-the-Art on Tours for Dynamic Visualization of High-dimensional Data

TL;DR

This paper reviews the theory, history, software, and applications of the tour technique for visualizing high-dimensional data in various scientific and machine learning contexts.

Contribution

It provides a comprehensive overview of the state-of-the-art in tour methods for dynamic high-dimensional data visualization, integrating historical and modern perspectives.

Findings

Summarizes key theoretical foundations of the tour technique.

Highlights recent software developments for high-dimensional visualization.

Showcases diverse applications across sciences and machine learning.

Abstract

This article discusses a high-dimensional visualization technique called the tour, which can be used to view data in more than three dimensions. We review the theory and history behind the technique, as well as modern software developments and applications of the tour that are being found across the sciences and machine learning.