Unsupervised Feature Extraction Applied to Bioinformatics

A PCA Based and TD Based Approach

Éditeur :

Springer

Paru le : 2019-08-23

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 un...
Voir tout
Ce livre est accessible aux handicaps Voir les informations d'accessibilité
Ebook téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Compatible lecture en ligne (streaming)
158,24
Ajouter à ma liste d'envies
Téléchargement immédiat
Dès validation de votre commande
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

À propos

Auteur

Éditeur

Collection
n.c

Parution
2019-08-23

Pages
321 pages

EAN papier
9783030224554

Auteur(s) du livre


Prof. Taguchi is currently a Professor at Department of Physics, Chuo University. Prof. Taguchi received a master degree in Statistical Physics from Tokyo Institute of Technology, Japan in 1986, and PhD degree in Non-linear Physics from Tokyo Institute of Technology, Tokyo, Japan in 1988. He worked at Tokyo Institute of Technology and Chuo University. He is with Chuo University (Tokyo, Japan) since 1997. He currently holds the Professor position at this university. His main research interests are in the area of Bioinformatics, especially, multi-omics data analysis using linear algebra. Dr. Taguchi has published a book on bioinformatics, more than 100 journal papers, book chapters and papers in conference proceedings.   

Caractéristiques détaillées - droits

EAN PDF
9783030224561
Prix
158,24 €
Nombre pages copiables
3
Nombre pages imprimables
32
Taille du fichier
8499 Ko
EAN EPUB
9783030224561
Prix
158,24 €
Nombre pages copiables
3
Nombre pages imprimables
32
Taille du fichier
28744 Ko

Suggestions personnalisées