Accession Number:

AD0716482

Title:

Classification Analysis.

Descriptive Note:

Technical note,

Corporate Author:

STANFORD RESEARCH INST MENLO PARK CALIF

Personal Author(s):

Report Date:

1970-11-01

Pagination or Media Count:

120.0

Abstract:

Sorting things into groups is a basic intellectual task that allows people to simplify with minimal reduction in information. Classification techniques, which include both clustering and discrimination, provide step-by-step computer-based procedures for sorting things based on notions of generalized similarity and on the class description desired. This paper surveys and classifies all classification techniques known to the author. A conceptual framework for considering these techniques is developed. Useful techniques for interpreting and evaluating the results are given. An extensive bibliography is included. Author

Subject Categories:

  • Information Science
  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE