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• W2605348030 abstract "We apply multilinear principal component analysis to dimension reduction and classification of human volumetric organ data, which are expressed as multiway array data. For the decomposition of multiway array data, tensor-based principal component analysis extracts multilinear structure of the data. We numerically clarify that low-pass filtering after the multidimensional discrete cosine transform efficiently approximates data dimension reduction procedure based on the tensor principal component analysis." @default.
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• W2605348030 date "2017-01-01" @default.
• W2605348030 modified "2023-09-27" @default.
• W2605348030 title "Approximation of N-Way Principal Component Analysis for Organ Data" @default.
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• W2605348030 doi "https://doi.org/10.1007/978-3-319-54526-4_2" @default.
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