Parallel Performance of GTM Dimension Reduction

Project Details

Project Lead
Jong Youl Choi 
Project Manager
Jong Youl Choi 
Institution
Indiana University, Pervasive Technology Institue  
Discipline
Computer Science (401) 

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 Impacts

GTM dimension reduction has many potentials to be used in various fields, including cheminformatics and text mining.

Scale of Use

If possible, I want to use as many nodes as possible for performance study of Parallel GTM Dimension Reduction