Fuzzy Algorithms for Pattern Recognition,

Abstract

This paper contains, first, a tutorial of the basic axiomatic structure underlying many fuzzy algorithms for pattern recognition; and second, a summary of the theory and applications connected with several currently available fuzzy techniques. In particular, algorithms for clustering, feature selection, classification, and shape description are considered. (Author)

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1983
Accession Number
ADP003119

Entities

People

  • J. C. Bezdek

Organizations

  • Utah State University

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Classification
  • Clustering
  • Environment
  • Feature Selection
  • Identification
  • Pattern Recognition
  • Recognition
  • Workshops

Readers

  • Computational Linguistics
  • Computer Vision.

Technology Areas

  • AI & ML