A Multi-task Comparative Study on Scatter Plots and Parallel Coordinates Plots

2015 ◽  
Vol 34 (3) ◽  
pp. 261-270 ◽  
Author(s):  
Rassadarie Kanjanabose ◽  
Alfie Abdul-Rahman ◽  
Min Chen
2021 ◽  
Vol 12 (1) ◽  
pp. 331
Author(s):  
Szymon Bobek ◽  
Sławomir K. Tadeja ◽  
Łukasz Struski ◽  
Przemysław Stachura ◽  
Timoleon Kipouros ◽  
...  

We present a refinement of the Immersive Parallel Coordinates Plots (IPCP) system for Virtual Reality (VR). The evolved system provides data-science analytics built around a well-known method for visualization of multidimensional datasets in VR. The data-science analytics enhancements consist of importance analysis and a number of clustering algorithms including a novel SuMC (Subspace Memory Clustering) solution. These analytical methods were applied to both the main visualizations and supporting cross-dimensional scatter plots. They automate part of the analytical work that in the previous version of IPCP had to be done by an expert. We test the refined system with two sample datasets that represent the optimum solutions of two different multi-objective optimization studies in turbomachinery. The first one describes 54 data items with 29 dimensions (DS1), and the second 166 data items with 39 dimensions (DS2). We include the details of these methods as well as the reasoning behind selecting some methods over others.


2020 ◽  
Author(s):  
Bruno Oliveira Ferreira de Souza ◽  
Éve‐Marie Frigon ◽  
Robert Tremblay‐Laliberté ◽  
Christian Casanova ◽  
Denis Boire

2001 ◽  
Vol 268 (6) ◽  
pp. 1739-1748
Author(s):  
Aitor Hierro ◽  
Jesus M. Arizmendi ◽  
Javier De Las Rivas ◽  
M. Angeles Urbaneja ◽  
Adelina Prado ◽  
...  

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