A Computer-Graphics Separation Algorithm for Pattern Classification and Cluster Analysis.

Abstract

A separation algorithm applicable to the pattern classification and cluster analysis of n-dimensional (n > 2) data is presented. The algorithm reduces the dimensionality of the problem by projecting each point into a plane. This plane is presented to the user on a computer graphics console screen. The operator picks a point on the screen with a lightpen and chooses a direction of movement to achieve or increase separation, thereby causing an iteration of the algorithm. Each iteration is in fact a reorientation of the plane into which the data points are projected. Iterations continue until satisfactory separation is achieved. The algorithm is not restricted by the dimensionality of the data, nor are any distributional assumptions required. Results from six case studies indicate that the algorithm is a useful tool for the analysis of multi-dimensional data. (Author)

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1973
Accession Number
AD0767665

Entities

People

  • Gilbert Paul Lauzon

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Algorithms
  • Case Studies
  • Classification
  • Computer Graphics
  • Computers
  • Graphics
  • Interactive Graphics
  • Iterations

Readers

  • Computer Vision.
  • Human-Computer Interaction (HCI).
  • Operations Research