Visual Analytics for Exploration of a High-Dimensional Structure

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.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2013
Accession Number
ADA585998

Entities

People

  • Andrew M. Neiderer

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Computer Programming
  • Computer Programs
  • Computers
  • Data Analysis
  • Data Mining
  • Data Visualization
  • Databases
  • Dimensionality Reduction
  • Extraction
  • Feature Extraction
  • Feature Selection
  • Graphical User Interface
  • Information Science
  • Statistical Analysis
  • Three Dimensional
  • Two Dimensional
  • Web Browsers

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Distributed Systems and Data Platform Development

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • Space