Sample Classification Algorithm Based on Spectral Similarity Calculation

Ji Qiu Deng; Lan Qiu; Qian Hong Wu; Ying Wang

doi:10.4028/www.scientific.net/AMR.490-495.568

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 490-495Sample Classification Algorithm Based on Spectral...

Sample Classification Algorithm Based on Spectral Similarity Calculation

Abstract:

According to the field geological sample classification, a spectral similarity the cluster analysis algorithm (SSCA) has been put forward. This algorithm expands and improves the spectra sort encoding algorithm on the spectral sorting and similarity computation, and adds similarity clustering analysis method. Testing on 100 field geological samples using SSCA algorithm, we get the results showing that this algorithm can make further classification for field geological samples to some extent.

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Periodical:

Advanced Materials Research (Volumes 490-495)

Pages:

568-572

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.490-495.568

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Online since:

March 2012

Authors:

Ji Qiu Deng, Lan Qiu, Qian Hong Wu, Ying Wang

Keywords:

Cluster Analysis, Sample Classification, Similarity, Spectrum Curve

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