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) : Pichler,Marty A. ; Perone,Sam P.
Report Date : 21 FEB 1974
Pagination or Media Count : 39
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)
Descriptors : *Pattern recognition, *Chemical analysis, Interactive graphics, Classification, Statistical analysis
Subject Categories : Industrial Chemistry and Chemical Processing
Distribution Statement : APPROVED FOR PUBLIC RELEASE