The Application of Pattern Recognition Techniques to the Characterization of Atmospheric Aerosols.

Abstract

Measurements were made of the amounts of 24 components in 24-hour samples of atmospheric particulates collected over a 12-month period in the greater Tucson area. Techniques of pattern recognition were used to examine the data base, which also included meteorological information collected daily over the same period of time. Clustering methods grouped similar components together. Principal Component Analysis showed that most of the variance was contained in only a few dimensions.

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1975
Accession Number
ADA014650

Entities

People

  • J. L. Moyers
  • M. Pichler
  • P. Gaarenstroom
  • S. P. Perone

Organizations

  • Purdue University

Tags

DTIC Thesaurus Topics

  • Chemistry
  • Clustering
  • Cooperation
  • Data Science
  • Databases
  • Factor Analysis
  • Identification
  • Information Science
  • Measurement
  • Particulates
  • Pattern Recognition
  • Recognition

Fields of Study

  • Environmental science

Readers

  • Atmospheric Remote Sensing.
  • Climatology
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML