کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
2504894 | 1557472 | 2009 | 4 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A comparison of a common approach to partial least squares-discriminant analysis and classical least squares in hyperspectral imaging
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موضوعات مرتبط
علوم پزشکی و سلامت
داروسازی، سم شناسی و علوم دارویی
علوم دارویی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A comparison of a common approach to partial least squares-discriminant analysis and classical least squares in hyperspectral imaging A comparison of a common approach to partial least squares-discriminant analysis and classical least squares in hyperspectral imaging](/preview/png/2504894.png)
چکیده انگلیسی
In hyperspectral analysis, PLS-discriminant analysis (PLS-DA) is being increasingly used in conjunction with pure spectra where it is often referred to as PLS-Classification (PLS-Class). PLS-Class has been presented as a novel approach making it possible to obtain qualitative information about the distribution of the compounds in each pixel using little a priori knowledge about the image (only the pure spectrum of each compound is needed). In this short note it is shown that the PLS-Class model is the same as a straightforward classical least squares (CLS) model and it is highlighted that it is more appropriate to view this approach as CLS rather than PLS-DA. A real example illustrates the results of applying both PLS-Class and CLS.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Pharmaceutics - Volume 373, Issues 1–2, 21 May 2009, Pages 179–182
Journal: International Journal of Pharmaceutics - Volume 373, Issues 1–2, 21 May 2009, Pages 179–182
نویسندگان
José Manuel Amigo, Carsten Ravn, Neal B. Gallagher, Rasmus Bro,