Unsupervised Feature Extraction Applied to Bioinformatics

Discover the groundbreaking insights in "Unsupervised Feature Extraction Applied to Bioinformatics" by Y-h Taguchi, published by Springer Nature Switzerland AG in 2020. This comprehensive paperback edition spans 321 pages and delves into the innovative applications of tensor decomposition for unsupervised feature extraction and feature selection in the field of bioinformatics.

Y-h Taguchi expertly covers advanced concepts, including Tucker decomposition utilizing high order singular value decomposition and higher order orthogonal iteration, as well as training tensor decomposition techniques. This book is an essential resource for researchers and practitioners looking to enhance their understanding of feature extraction methodologies and their practical applications in bioinformatics.

Elevate your knowledge and explore the potential of tensor decomposition with this informative and engaging read!