Title : 
Spectrum patterns analysis by clustering
         
        
            Author : 
Tushnytskyy, Ruslan ; Melnyk, Roman ; Druchok, Lidiya
         
        
            Author_Institution : 
Software Dept., Lviv Polytech. Nat. Univ., Lviv, Ukraine
         
        
        
        
        
        
            Abstract : 
An automated approach based on clustering algorithms and software to spectrum pattern analysis is considered. Investigation of spectral lines extraction and selected element percentage admixture determination problems are presented.
         
        
            Keywords : 
pattern clustering; spectroscopy computing; admixture determination; clustering algorithms; spectral lines extraction; spectrum patterns analysis; Brightness; Clustering algorithms; Composite materials; Investments; Pattern analysis; Pattern recognition; Photometry; Software algorithms; Spectral analysis; Spectroscopy; admixture determination; clustering; line spectrum; pattern processing; spectral line;
         
        
        
        
            Conference_Titel : 
Perspective Technologies and Methods in MEMS Design (MEMSTECH), 2010 Proceedings of VIth International Conference on
         
        
            Conference_Location : 
Lviv
         
        
            Print_ISBN : 
978-1-4244-7325-0
         
        
            Electronic_ISBN : 
978-966-2191-11-0