Projection Pursuit

Abstract

Projection pursuit (PP), which goes back to Kruskal and Friedman and Tukey, is discussed from a conceptual point of view. Originally, it was merely concerned with finding 'interesting' projections to aid the visual analysis of high dimensional data. It will be argued that there is a very general concept behind PP, having a much broader scope than anticipated by its originators. In its most important aspect it is concerned wind finding least normal projections of the data, and it has ramifications reaching into topics as varied as robust covariance estimation, factor analysis, nonparametric signal detection, computer tomography and Hilbert's 13th problem.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1981
Accession Number
ADA107817

Entities

People

  • Peter J. Huber

Organizations

  • Harvard University

Tags

DTIC Thesaurus Topics

  • Computers
  • Covariance
  • Data Science
  • Detection
  • Factor Analysis
  • Imaging Techniques
  • Information Science
  • Signal Detection
  • Tomography

Readers

  • Approximation Theory.
  • Regression Analysis.
  • Systems Analysis and Design