Fuzzy Robust Statistics for Application to the Fuzzy c-Means Clustering Algorithm

Abstract

This report introduces two robust statistics -- the fuzzy median and the fuzzy median absolute deviation from the median -- that have been developed for use with fuzzy data sets. The two statistics were applied to the fuzzy c- Means algorithm, a powerful clustering algorithm that normally employs linear statistics. The modified algorithm showed improved performance, being able to cluster data sets generated by heavy-tailed distributions like the Cauchy and Slash distributions.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1993
Accession Number
ADA274719

Entities

People

  • P. R. Kersten

Organizations

  • Naval Undersea Warfare Center

Tags

Communities of Interest

  • Counter IED
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Clustering
  • Control Systems
  • Convergence
  • Covariance
  • Data Analysis
  • Data Mining
  • Data Science
  • Data Sets
  • Estimators
  • Fuzzy Sets
  • Information Science
  • Order Statistics
  • Pattern Recognition
  • Statistics
  • Unsupervised Machine Learning

Fields of Study

  • Computer science

Readers

  • Approximation Theory.
  • Computer Engineering
  • Computer Vision.