Unsupervised Feature Extraction Applied to Bioinformatics

A PCA Based and TD Based Approach

af Y-h. Taguchi

This book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection. The author includes advanced descriptions about tensor decomposition including Tucker decomposition using high order singular value decomposition as well as higher order orthogonal iteration, and train tenor decomposition.