Millions of books in English, Spanish and other languages. Free UK delivery 

menu

0
  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional
portada Unsupervised Feature Extraction Applied to Bioinformatics: A Pca Based and TD Based Approach
Type
Physical Book
Publisher
Language
Inglés
Pages
321
Format
Hardcover
Dimensions
23.4 x 15.6 x 2.1 cm
Weight
0.65 kg.
ISBN13
9783030224554

Unsupervised Feature Extraction Applied to Bioinformatics: A Pca Based and TD Based Approach

Taguchi, Y-H (Author) · Springer · Hardcover

Unsupervised Feature Extraction Applied to Bioinformatics: A Pca Based and TD Based Approach - Taguchi, Y-H

New Book

£ 186.35

  • Condition: New
Origin: U.S.A. (Import costs included in the price)
It will be shipped from our warehouse between Friday, July 19 and Friday, July 26.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.

Synopsis "Unsupervised Feature Extraction Applied to Bioinformatics: A Pca Based and TD Based Approach"

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 are available. 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. The author concludes by showing unsupervised methods and their application to a wide range of topics. Allows readers to analyze data sets with small samples and many features;Provides a fast algorithm, based upon linear algebra, to analyze big data;Includes several applications to multi-view data analyses, with a focus on bioinformatics.

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews