Detecting outlying variables in multigroup data: A comparison of different loading similarity coefficients
نویسندگان
چکیده
منابع مشابه
Detecting Outlying Samples in a PARAFAC Model
To explore multi-way data, different methods have been proposed. Here, we study the popular PARAFAC (Parallel factor analysis) model, which expresses multi-way data in a more compact way, without ignoring the underlying complex structure. To estimate the score and loading matrices, an alternating least squares procedure is typically used. It is however well known that least squares techniques s...
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ژورنال
عنوان ژورنال: Journal of Chemometrics
سال: 2020
ISSN: 0886-9383,1099-128X
DOI: 10.1002/cem.3233