Visualizing High-Dimensional Data: Advances in the Past Decade

2016/12/17 by Shusen Liu, Dan Maljovec, Bei Wang +2 · 1 citation
Computer Science · Biochemistry, Genetics and Molecular Biology · #Data Visualization and Analytics #Topological and Geometric Data Analysis #Cell Image Analysis Techniques #Visualization #Computer science #Data science #Data visualization #Pipeline (software) #Modular design #Information visualization #Creative visualization #Data exploration #Data mining

paper · doi:10.1109/tvcg.2016.2640960

openalex publication_date 2016/12/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/06

Abstract

Massive simulations and arrays of sensing devices, in combination with increasing computing resources, have generated large, complex, high-dimensional datasets used to study phenomena across numerous fields of study. Visualization plays an important role in exploring such datasets. We provide a comprehensive survey of advances in high-dimensional data visualization that focuses on the past decade. We aim at providing guidance for data practitioners to navigate through a modular view of the recent advances, inspiring the creation of new visualizations along the enriched visualization pipeline, and identifying future opportunities for visualization research.

Citations

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Cited by

• Topological data analysis [wikipedia]