PolarViz : a discriminating visualization and visual analytics tool for high-dimensional data

• Main Authors: Wang, Yan Chao, Zhang, Qian, Lin, Feng, Goh, Chi Keong, Seah, Hock Soon
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Computer science and engineering; PolarViz; Customized Radial Distortion
• Online Access: https://hdl.handle.net/10356/142208
• Institution: Nanyang Technological University

Visual analytics tools are of paramount importance in handling high-dimensional datasets such as those in our turbine performance assessment. Conventional tools such as RadViz have been used in 2D exploratory data analysis. However, with the increase in dataset size and dimensionality, the clumping...