Visual Analytics for Exploration of a High-Dimensional Structure
Final rept. Sep 2012-Jan 2013
ARMY RESEARCH LAB ABERDEEN PROVING GROUND MD
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This report is about a stage of the knowledge discovery in databases KDD process used to find possible patterns in high-dimensional data HDD data distributed in the form of a geometrical locus or object in HDD space or data close to some manifold. The emphasis is on data mining for exploratory data analytics of the HDD and dimensionality reduction by feature selectionextraction, which is necessary for a two- or three-dimensional representation of the HDD for exploratory visual analytics. Such a description allows us to navigate and interact with the data.
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