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Sample classification algorithm based on spectral similarity calculation
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发表刊物：Advanced Materials Research
关键字：spectral similarity calculation; field geological sample classification; cluster analysis algorithm; spectra sort encoding algorithm
摘要：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.
合写作者：Qiu Lan, Wu Qianhong, Wang Ying
第一作者：Deng Jiqiu
论文类型：期刊论文
文献类型：J
期号：490-495
页面范围：568-572
是否译文：否
发表时间：2012-09-01
收录刊物：EI
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