Feature Extraction of High-Dimensional Structures for Exploratory Analytics
Final rept. May 2011-Mar 2012
ARMY RESEARCH LAB ABERDEEN PROVING GROUND MD
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This report summarizes lessons learned in a study conducted at the U.S. Army Research Laboratory ARL for visual examination of high-dimensional data HDD. The initial effort included feature extraction FE, as opposed to feature selection, of HDD structures for display. FE to a two- or three-dimensional Euclidean space allows exploration of underlying structure of HDD, even though the meaning of the actual data is obscured latent variables. Some discussion of the FEs considered is given further details can be found at URLs provided. Application of visual analytics technology interactionnavigation within visualization allows additional knowledge discovery. Research continues at ARL for the development of a method to gain insight into HDD, particularly in the application of an analytic strategy to terrorist data.
- Theoretical Mathematics