Comparing patterns of component loadings: Principal Component Analysis (PCA) versus Independent Component Analysis (ICA) in analyzing multivariate non-normal data
نویسندگان
چکیده
منابع مشابه
Principal independent component analysis
Conventional blind signal separation algorithms do not adopt any asymmetric information of the input sources, thus the convergence point of a single output is always unpredictable. However, in most of the applications, we are usually interested in only one or two of the source signals and prior information is almost always available. In this paper, a principal independent component analysis (PI...
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Hyperspectral image sensors provide images with a large number of contiguous spectral channels per pixel and enable information about diierent materials within a pixel to be obtained. The problem of spectrally unmixing materials may be viewed as a speciic case of the blind source separation problem where data consists of mixed signals (in this case minerals) and the goal is to determine the con...
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ژورنال
عنوان ژورنال: Behavior Research Methods
سال: 2012
ISSN: 1554-3528
DOI: 10.3758/s13428-012-0193-1