Unsupervised Feature Extraction Applied to Bioinformatics (eBook, PDF)
Y-h. Taguchi
eBook, PDF

Unsupervised Feature Extraction Applied to Bioinformatics (eBook, PDF)

A PCA Based and TD Based Approach

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This book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection. The author posits that although supervised methods including deep learning have become popular, unsupervised methods have their own advantages. He argues that this is the case because unsupervised methods are easy to learn since tensor decomposition is a conventional linear methodology. This book starts from very basic linear algebra and reaches the cutting edge methodologies applied to difficult situations when there are many features (variables) while only small number of samples...

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