What is it about?

It is feature extraction based upon tensor decomposition, which was extended from the recently proposed principal component analysis based unsupervised feature extraction.

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Why is it important?

It can be used for multi-view data analysis by generating tensor from the product of matrix. Generated tensor was decomposed by the usual tensor decomposition method.

Perspectives

As a bioinformatics researcher, I am happy that PCA based unsupervised FE was extended to tensor decompsoition.

Professor Y-h. Taguchi
Chuo Daigaku

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This page is a summary of: Tensor decomposition-based unsupervised feature extraction applied to matrix products for multi-view data processing, PLoS ONE, August 2017, PLOS,
DOI: 10.1371/journal.pone.0183933.
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