Multidimensional collaborative lossless visualization: Experimental study

Abstract

The major challenges in visualization of large n-D data in 2-D are in supporting the most efficient and fast usage of abilities of users to analyze visualized information and to extract patterns visually. This paper describes experimental results of a collaborative approach to support n-D data visualization based on new lossless n-D visualization methods (collocated paired coordinates and their stars modifications) that we propose. This is a second part of the work. The first part presented in a separate paper is focused on description of the algorithms.