期刊
JOURNAL OF MATHEMATICAL CHEMISTRY
卷 42, 期 4, 页码 1003-1013出版社
SPRINGER
DOI: 10.1007/s10910-006-9155-0
关键词
data mining; statistical theory of spectra; molecular similarity; genetic algorithms
This paper aims at demonstrating the applicability of statistical spectroscopy and genetic algorithms to the similarity studies. Statistical moments of the intensity distributions are used as a basis for defining similarity distances between pairs of model spectra. Model spectrum is taken as a sum of two Gaussian distributions characterized by different parameters. As a result, dissimilarity maps are presented.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据