The Emergence and Evolution of Parallel Coordinates Plots

Abstract

Using parallel coordinates plots to visualize and analyze high-dimensional data is a very useful and efficient geometry-based visualization approach, which aims at intuitively understanding and analyzing high-dimensional data which is frequently used in two-dimensional space. In this paper, we discuss the emergence and evolution of parallel coordinates plots and outline the importance of the emergence of parallel coordinates plots visualization methods in facilitating our analysis of high-dimensional data. Parallel coordinates are inherently limited in two points, with cross-overlapping lines and weak inter-dimensional relationships. The growth of data dimension and data volume made the research in parallel coordinates plots very crucial. Many researchers have carried out influentially technological innovation methods, while focusing on four influential directions: combining data mining, combining with dimensionality reduction, combining with human-computer interaction and combining with other visualization methods, making parallel coordinates plots a representative and significant tool of geometric visualization of high-dimensional data. Realizing the deep integration with data mining, human-computer interaction, computer graphics, cognitive science, psychology and many other disciplines is the biggest challenge faced by parallel coordinates plots in the future. More artificial intelligence factors will be introduced, and a truly efficient and intuitive data visualization interfaces will be developed to intelligently visualize and analyze high-dimensional data.