Accession Number:

AD0775237

Title:

Computerized Pattern Recognition Applications to Chemical Analysis. Development of Interactive Feature Selection Methods for the K-Nearest Neighbor Technique.

Descriptive Note:

Technical rept. no. 1, 1 Apr 73-21 Feb 74,

Corporate Author:

PURDUE UNIV LAFAYETTE IND DEPT OF CHEMISTRY

Personal Author(s):

Report Date:

1974-02-21

Pagination or Media Count:

39.0

Abstract:

A systematic approach has been developed for feature selection in the application of the K-nearest neighbor KNN computerized pattern recognition method. The approach uses an operator-interactive computer system. A large number of potentially-useful features for classification of patterns can be screened for the most relevant members by a combination of recommended procedures. These include a one-dimensional KNN classification of all patterns using each feature individually b inspection of histogram displays of classification records for each feature and c establishment of consensus classifications from combined one-dimensional results. A computerized trial-and-error procedure can then be implemented to find the best combination of a minimum number of features for accurate classification using the multi-dimensional KNN method. Modified author abstract

Subject Categories:

  • Industrial Chemistry and Chemical Processing

Distribution Statement:

APPROVED FOR PUBLIC RELEASE