Enormous size and dimensionality of astronomical data pose a challenge in exploration, analyzing and understanding them. New tools are needed that can not only handle large size (million data points) but also high dimensionality (dozens of parameters). To maintain applicability these tools have to be scalable. 1. High Dimensional Data Visualization Methods •Scatter Plot Matrix shows the pairwise relationship of a set of vari-ables in matrix format. l
Analysis and visualization of large data sets is time consuming and sometimes can be a very difficul...
Multidimensional projections are an increasingly popular technique for visualizing large datasets co...
Over the past few years, the role of visualization for scientific purpose has grown up enormously. A...
Enormous size and dimensionality of astronomical data pose a chal- lenge in exploration, analyzing a...
Astronomy is entering a new era of discovery, coincident with the establishment of new facilities fo...
Astronomical researchers often think of analysis and visualization as separate tasks. In the case of...
The growth rate at which radio astronomy data is captured is accelerating thanks to recent developme...
A new method for assisting with the visualization of large multidimensional datasets is proposed. We...
This paper discusses work done by JPL’s Parallel Applications Technologies Group in helping scientis...
L'évolution des technologies actuelles permet de traiter un grand nombre d'expériences (ou de simula...
Observation data from radio telescopes is typically stored in three (or higher) dimensional data cub...
Many applications in science and business such as signal analysis or costumer segmentation deal with...
This paper discusses visualization and analysis issues as datasets grow towards very large sizes, an...
Today's scientific and engineering problems require a different approach to address the massive d...
Critical to the understanding of data is the ability to provide pictorial or visual representation o...
Analysis and visualization of large data sets is time consuming and sometimes can be a very difficul...
Multidimensional projections are an increasingly popular technique for visualizing large datasets co...
Over the past few years, the role of visualization for scientific purpose has grown up enormously. A...
Enormous size and dimensionality of astronomical data pose a chal- lenge in exploration, analyzing a...
Astronomy is entering a new era of discovery, coincident with the establishment of new facilities fo...
Astronomical researchers often think of analysis and visualization as separate tasks. In the case of...
The growth rate at which radio astronomy data is captured is accelerating thanks to recent developme...
A new method for assisting with the visualization of large multidimensional datasets is proposed. We...
This paper discusses work done by JPL’s Parallel Applications Technologies Group in helping scientis...
L'évolution des technologies actuelles permet de traiter un grand nombre d'expériences (ou de simula...
Observation data from radio telescopes is typically stored in three (or higher) dimensional data cub...
Many applications in science and business such as signal analysis or costumer segmentation deal with...
This paper discusses visualization and analysis issues as datasets grow towards very large sizes, an...
Today's scientific and engineering problems require a different approach to address the massive d...
Critical to the understanding of data is the ability to provide pictorial or visual representation o...
Analysis and visualization of large data sets is time consuming and sometimes can be a very difficul...
Multidimensional projections are an increasingly popular technique for visualizing large datasets co...
Over the past few years, the role of visualization for scientific purpose has grown up enormously. A...