In the visual analysis of high-dimensional data points, star coordinate plot maps the data points into an observable space by conducting a linear combination of radial distributed axes vectors. However, when plotting additional data points which are quite common in an engine performance and simulation model evaluation, the star coordinate is not effective due to undetermined plotting boundary. In response, we propose a geometric algorithm to determine the axis-aligned bounding box, minimum bounding box, and bounding polygon of the star coordinate with an evenly distributed configuration and an arbitrary distributed configuration respectively. These boundaries enable a continuous point rendering that adapts to the screen space boundary. More...
Copyright © SGEM WORLD SCIENCE (SWS) Society 2020. This work focuses on the use of projective geomet...
In this work, we address the challenge of seamlessly visualizing astronomical data exhibiting huge s...
Visualization and interaction of multidimensional data always requires optimized solutions to integr...
The 3D Star Coordinate Projection (3DSCP) visualisation algorithm has been developed to address the ...
This paper presents a 3D star coordinate-based visualization technique for exploratory data analysis...
Preserving all multidimensional data in two-dimensional visualization is a long-standing problem in ...
This paper presents two algorithms for autonomously selecting the best projection among all possible...
Star Coordinate (SC) is a circular visualization technique that maps kdimensional data. Its interact...
Abstract — Interactive visualization requires the translation of data into a screen space of limited...
The Star Plot is one of popular methods for visualization of multivariate data. This method displays...
Star Coordinates is an important visualization method able to reveal patterns and groups from multid...
The development of techniques contributes to the digitalization of engine-related procedures, genera...
The Star Plot approach to high-dimensional data visualization is applied to multi-attribute dichotom...
Figure 1: The Cars data set shown using the classic parallel coordinates plot (PCP) on the left, and...
Abstract — Star coordinates is a popular projection technique from an nD data space to a 2D/3D visua...
Copyright © SGEM WORLD SCIENCE (SWS) Society 2020. This work focuses on the use of projective geomet...
In this work, we address the challenge of seamlessly visualizing astronomical data exhibiting huge s...
Visualization and interaction of multidimensional data always requires optimized solutions to integr...
The 3D Star Coordinate Projection (3DSCP) visualisation algorithm has been developed to address the ...
This paper presents a 3D star coordinate-based visualization technique for exploratory data analysis...
Preserving all multidimensional data in two-dimensional visualization is a long-standing problem in ...
This paper presents two algorithms for autonomously selecting the best projection among all possible...
Star Coordinate (SC) is a circular visualization technique that maps kdimensional data. Its interact...
Abstract — Interactive visualization requires the translation of data into a screen space of limited...
The Star Plot is one of popular methods for visualization of multivariate data. This method displays...
Star Coordinates is an important visualization method able to reveal patterns and groups from multid...
The development of techniques contributes to the digitalization of engine-related procedures, genera...
The Star Plot approach to high-dimensional data visualization is applied to multi-attribute dichotom...
Figure 1: The Cars data set shown using the classic parallel coordinates plot (PCP) on the left, and...
Abstract — Star coordinates is a popular projection technique from an nD data space to a 2D/3D visua...
Copyright © SGEM WORLD SCIENCE (SWS) Society 2020. This work focuses on the use of projective geomet...
In this work, we address the challenge of seamlessly visualizing astronomical data exhibiting huge s...
Visualization and interaction of multidimensional data always requires optimized solutions to integr...