Visualization Methods for the Exploration or High Dimensional Data.

Abstract

This project focused on the development of data analysis and statistical methodology which may be characterized by one or more of the properties that they are large in size, high in dimension, and nonhomogeneous. The major thrust is in visualization of both point clouds and mathematical structures in high dimensions. The specifcc advances made under this project are (1) Three dimensional generalizations of the Andrews plot, (2) the grand tour in k-dimensions, (3) fast algorithms for the pseudo-Grand Tour, and (4) structural inference using ride estimation. (AN)

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Document Details

Document Type
Technical Report
Publication Date
Feb 16, 1995
Accession Number
ADA301755

Entities

People

  • Edward Wegman

Organizations

  • George Mason University

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Computational Processes
  • Computing-Related Activities
  • Data Analysis
  • Data Visualization
  • Mathematics
  • Point Clouds
  • Three Dimensional
  • Visualizations

Readers

  • Distributed Systems and Data Platform Development
  • Military History of the United States in the 20th Century.
  • Statistical inference.

Technology Areas

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