Information Visualization, Nonlinear Dimensionality Reduction and Sampling for Large and Complex Data Sets

Details Information Visualization, Nonlinear Dimensionality Reduction and Sampling for Large and Complex Data Sets Information Visualization, Nonlinear Dimensionality Reduction and Sampling for Large and Complex Data Sets

Jan 2010

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010aas...21523103p&link_type=abstract

American Astronomical Society, AAS Meeting #215, #231.03; Bulletin of the American Astronomical Society, Vol. 42, p.594

Astronomy and Astrophysics

Astronomy

Scientific paper

Recent and forthcoming increases in the amount and complexity of astronomy data are creating data sets that are not amenable to the methods of analysis with which astronomers are familiar. Traditional methods are often inadequate not merely because the data sets are too large and too complex to fully be analyzed "manually", but because many conventional algorithms and techniques cannot be scaled up enough to work effectively on the new data sets. It is essential to develop new methods for organization, scientific visualization (as opposed to illustrative visualization) and analysis of heterogeneous, multiresolution data across application domains. Scientific utilization of highly complex and massive data sets poses significant challenges, and calls for some mathematical approaches more advanced than are now generally available. In this paper, we both give an overview of several innovative developments that address these challenges, and describe a few specific examples of algorithms we have developed, as well as the ones we are developing in the course of this ongoing work. These approaches will enhance scientific visualization and data analysis capabilities, thus facilitating astronomical research and enabling discoveries. This work was carried out with partial funding from the National Geospatial-Intelligence Agency University Research Initiative (NURI), grant HM1582-08-1-0019.

Affiliated with

Also associated with

No associations

Rating

Information Visualization, Nonlinear Dimensionality Reduction and Sampling for Large and Complex Data Sets does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Information Visualization, Nonlinear Dimensionality Reduction and Sampling for Large and Complex Data Sets, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Information Visualization, Nonlinear Dimensionality Reduction and Sampling for Large and Complex Data Sets will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-961027