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METHODS AND SYSTEMS FOR IDENTIFYING CORRELATED VARIABLES AND CONVOLVED PEAKS
METHODS AND SYSTEMS FOR IDENTIFYING CORRELATED VARIABLES AND CONVOLVED PEAKS
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机译:识别相关变量和卷积峰的方法和系统
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摘要
A method for identifying a convolved peak is described. A plurality of spectra is obtained. A multivariate analysis technique is used to assign data points from the plurality of spectra to a plurality of groups. A peak is selected from the plurality of spectra. If the peak includes data points assigned to two or more groups of the plurality of groups, the peak is identified as a convolved peak. Principal component analysis is one multivariate analysis technique that is used to assign data points. A number of principal components are selected. A subset principal component space is created. A data point in the subset principal component space is selected. A vector is extended from the origin of the subset principal component space to the data point. One or more data points within a spatial angle around the vector are assigned to a group.
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