کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1247893 1495914 2013 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Independent Components Analysis with the JADE algorithm
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آنالیزی یا شیمی تجزیه
پیش نمایش صفحه اول مقاله
Independent Components Analysis with the JADE algorithm
چکیده انگلیسی


• Independent Components Analysis compared to Principal Components Analysis.
• Extraction of interpretable signals from complex data sets.
• Application of Independent Components Analysis to multiway data arrays.

Independent Components Analysis (ICA) is a relatively recent method, with an increasing number of applications in chemometrics. Of the many algorithms available to compute ICA parameters, the Joint Approximate Diagonalization of Eigenmatrices (JADE) algorithm is presented here in detail. Three examples are used to illustrate its performance, and highlight the differences between ICA results and those of other methods, such as Principal Components Analysis. A comparison with Parallel Factor Analysis (PARAFAC) is also presented in the case of a three-way data set to show that ICA applied on an unfolded high-order array can give results comparable with those of PARAFAC.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: TrAC Trends in Analytical Chemistry - Volume 50, October 2013, Pages 22–32
نویسندگان
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