کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
9745491 1491573 2005 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Robust classification in high dimensions based on the SIMCA Method
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آنالیزی یا شیمی تجزیه
پیش نمایش صفحه اول مقاله
Robust classification in high dimensions based on the SIMCA Method
چکیده انگلیسی
In this paper we first investigate the robustness of the SIMCA method for classifying high-dimensional observations. It turns out that both stages of the algorithm, the estimation of principal components and the construction of a classification rule, can be highly disturbed by the presence of outliers. Therefore we propose a robust procedure RSIMCA which is based on a robust Principal Component Analysis method for high-dimensional data (ROBPCA). Various simulations and real examples reveal the robustness of our approach.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Chemometrics and Intelligent Laboratory Systems - Volume 79, Issues 1–2, 28 October 2005, Pages 10-21
نویسندگان
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