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从图像处理到分类:三、通过平移和拉伸匹配模式。

From image processing to classification: III. Matching patterns by shifting and stretching.

作者信息

Skovgaard I M, Jensen K, Søndergaard I

机构信息

Department of Mathematics and Physics, Royal Veterinary and Agricultural University, Frederiksberg C, Denmark.

出版信息

Electrophoresis. 1995 Aug;16(8):1385-9. doi: 10.1002/elps.11501601229.

DOI:10.1002/elps.11501601229
PMID:8529602
Abstract

A method for the classification of electrophoretic patterns is described and tested on a data set representing ten wheat varieties. The method attempts to match each electropherogram to each variety by a transformation involving displacement and stretching along the x-axis. This is done essentially by the method of least squares, which uses only the information contained in the electropherogram itself to adjust it to the variety in question. The method is completely automatic and works extremely well by classifying 98% of the spectra correctly, judged by cross validation.

摘要

本文描述了一种电泳图谱分类方法,并在代表十个小麦品种的数据集上进行了测试。该方法试图通过沿x轴的位移和拉伸变换,将每个电泳图与每个品种进行匹配。这主要通过最小二乘法来完成,该方法仅使用电泳图本身包含的信息,将其调整到所讨论的品种。该方法是完全自动的,通过交叉验证判断,能正确分类98%的光谱,效果非常好。

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