Analytical and Interactive Techniques for Multivariate Data Compression and Classification

Abstract

The report demonstrates the applicability of classical statistical techniques to problems involving compression and classification of multivariate data. The theoretical foundations of two such techniques, intrinsic analysis and discriminant analysis, are treated in detail. Efficient digital computer implementation is discussed, including the combined application of intrinsic and discriminant analysis and a new algorithm for computing approximate intrinsic bases for very large problems. Experimental results are presented on the application of these techniques as feature extractors in a signal classification problem. Also included is a description of the interactive graphics-oriented system software which has been developed to facilitate the application of these techniques.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 25, 1970
Accession Number
AD0719753

Entities

People

  • Robert B. Roper

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Computational Science
  • Computer Programming
  • Computer Programs
  • Computers
  • Data Analysis
  • Data Mining
  • Data Science
  • Dimensionality Reduction
  • Discriminant Analysis
  • Information Processing
  • Information Science
  • Information Theory
  • Machine Learning
  • Signal Processing
  • Statistical Analysis
  • Statistics

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)