Parallel Performance of GTM Dimension Reduction
Abstract
Research on Parallel Performance of GTM Dimension Reduction
Intellectual Merit
Performance study of parallel GTM algorithm is important to process large scale data for data mining.
Broader Impact
GTM dimension reduction has many potentials to be used in various fields, including cheminformatics and text mining.
Use of FutureGrid
Research for Parallel Performance of GTM Dimension Reduction
Scale Of Use
If possible, I want to use as many nodes as possible for performance study of Parallel GTM Dimension Reduction
Publications
FG-58
Jong Youl Choi
Indiana University
Active
Keywords
Timeline
1 year 49 weeks ago