Unsupervised feature extraction applied to bioinformatics

Unsupervised feature extraction applied to bioinformatics

In his new book, Professor Y-h Taguchi, from Chuo University, Tokyo, Japan, takes two classical mathematical techniques, principal component analysis and tensor decomposition, and demonstrates how they can be used to perform feature selection in his cutting-edge research. Both unsupervised learning methods are applied to carry out feature extraction in a wide range of ‘large p small n’ problems. This […]

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