Discriminating sample groups with multi-way data

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Discriminating sample groups with multi-way data.

High-dimensional linear classifiers, such as distance weighted discrimination (DWD) and versions of the support vector machine (SVM), are commonly used in biomedical research to distinguish groups of subjects based on a large number of features. However, their use is limited to applications where a single vector of features is measured for each subject. In practice, data are often multi-way, or...

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ژورنال

عنوان ژورنال: Biostatistics

سال: 2017

ISSN: 1465-4644,1468-4357

DOI: 10.1093/biostatistics/kxw057