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

• المؤلفون الرئيسيون: Wang, Yan Chao, Zhang, Qian, Lin, Feng, Goh, Chi Keong, Seah, Hock Soon
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2020
• الموضوعات: Engineering::Computer science and engineering; PolarViz; Customized Radial Distortion
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/142208

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...