Hyperdimensional Data Analysis and Structural Inference

Abstract

This project focused on exploratory and structural inference for high dimensional data. Exploratory techniques focused mainly on the parallel coordinate technique which was exploited on graphical computing platforms. A MS- DOS package was developed using this and other dynamical graphics techniques. Several refinements of the parallel coordinate technique were made including scintillation, parallel coordinate density plots and grand tours in d- dimensions. The structural inference work is nonparametric in character and focuses on high dimensional density estimation and ridge estimation. These ideas are currently still under development and promising techniques involved random tessellations, the trajectory method for finding ridges and the gradient density plot.

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Document Details

Document Type
Technical Report
Publication Date
May 25, 1991
Accession Number
ADA238097

Entities

People

  • Edward Wegman

Organizations

  • George Mason University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Computer Science
  • Coordinate Systems
  • Data Analysis
  • Data Science
  • Geometric Forms
  • Geometry
  • Graphics
  • Information Science
  • Military Research
  • New York
  • Scintillation
  • Standards
  • Statistics
  • Students
  • Systems Engineering
  • Universities

Readers

  • Computational Fluid Dynamics (CFD)
  • Distributed Systems and Data Platform Development
  • Regression Analysis.

Technology Areas

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