Accession Number ADA585998
Title Visual Analytics for Exploration of a High-Dimensional Structure.
Publication Date Apr 2013
Media Count 18p
Personal Author A. M. Neiderer
Abstract 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 selection/extraction, 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.
Keywords Data analytics
Data bases
Data mining
Dimensionality reduction
Distribution
Extraction
High-dimensional data
Information retrieval
Knowledge discovery in databases(KDD)
Patterns
Reduction
Selection


 
Source Agency Non Paid ADAS
NTIS Subject Category 88B - Information Systems
72F - Statistical Analysis
Corporate Author Army Research Lab., Aberdeen Proving Ground, MD.
Document Type Technical report
Title Note Final rept. Sep 2012-Jan 2013.
NTIS Issue Number 1405
Contract Number N/A

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