Analyzing of High Dimensional 0-1 Data Set, Boolean Factor Analysis,

Abstract

Factor analysis is a frequently used statistical tool for representing a usually large number of observable variables with a smaller set of latent factors. In classical factor analysis, the observable variables are expressed as linear combinations of the factors. During this procedure neither the factors nor the scores are binary. Boolean factor analysis is a procedure for the representation of binary variables in terms of Boolean combinations of binary factors.

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1992
Accession Number
ADP007107

Entities

People

  • Lidia Rejto

Organizations

  • University of Delaware

Tags

DTIC Thesaurus Topics

  • Computer Science
  • Computing-Related Activities
  • Data Science
  • Data Sets
  • Engineering
  • Factor Analysis
  • Information Science
  • Interdisciplinary Science
  • Mathematical Analysis
  • Statistical Analysis
  • Statistics
  • Theoretical Computer Science

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Computer Programming and Software Development.
  • Organizational Psychology.