Record Display for the EPA National Library Catalog


Main Title Application of SIMCA (Soft Independent Modeling of Class Analogy) Pattern Recognition to Air Pollutant Analytical Data.
Author Scott, D. R. ;
CORP Author Environmental Monitoring Systems Lab., Research Triangle Park, NC.
Year Published 1984
Report Number EPA/600/D-84/271;
Stock Number PB85-124683
Additional Subjects Air pollution ; Pattern recognition ; Gas analysis ; Computer programs ; Trace elements ; Lead(Metal) ; X-ray analysis ; Sampling ; Comparison ; Concentration(Composition) ; Tables(Data) ; Gasoline ; Exhaust emissions ; Gas chromatography ; Mass spectroscopy ; Air pollution detection ; SIMCA program ; Volatile organic compounds
Library Call Number Additional Info Location Last
NTIS  PB85-124683 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 41p
The SIMCA 3B computer program is a modular, graphics oriented pattern recognition package which can be run on a microcomputer with limited memory, e.g. an Osborne 1 with 64K memory. Principal component analysis is used to classify data with this program. The SIMCA program was used to display small analytical data sets for exploratory data analysis after principal component fitting. K-Nearest Neighbor distances were also computed. The data sets included an interlaboratory comparison of trace element analyses of particulates by X-ray emission; a comparison of two methods for analyzing lead in gasoline; and GC/MS analysis of volatile organic compounds in ambient air. A combination of principal component and K-Nearest Neighbor analysis was found to provide a convenient and quick method for detecting outliers in the data sets.