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

Taguchi, Y-H

Unsupervised Feature Extraction Applied to Bioinformatics: A Pca Based and TD Based Approach
  • 出版商: Springer
  • 出版日期: 2024-09-01
  • 售價: $8,520
  • 貴賓價: 9.5 折 $8,094
  • 語言: 英文
  • 頁數: 514
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3031609816
  • ISBN-13: 9783031609817
  • 相關分類: 生物資訊 Bioinformatics

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商品描述

This updated 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 tensor decomposition. The author concludes by showing unsupervised methods and their application to a wide range of topics.

商品描述(中文翻譯)

這本更新的書提出了將張量分解應用於無監督特徵提取和特徵選擇的應用。作者認為，儘管監督方法包括深度學習變得流行，但無監督方法具有自己的優勢。他認為這是因為無監督方法易於學習，因為張量分解是一種傳統的線性方法。這本書從非常基礎的線性代數開始，並達到應用於當有很多特徵（變量）而只有少量樣本可用時的尖端方法。作者包括有關張量分解的高階奇異值分解和高階正交迭代以及訓練張量分解的高級描述。作者最後展示了無監督方法及其在各種主題上的應用。

作者簡介

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 150 journal papers, book chapters and papers in conference proceedings and was recognized as top 2% scientist of the world in 3rd consecutive years (2021, 2022, 2023) according to analysis of Stanford University, USA and report of Elsevier in bioinformatics.

作者簡介(中文翻譯)

田口教授目前是日本中央大學物理學系的教授。田口教授於1986年在日本東京工業大學獲得統計物理學碩士學位，並於1988年在東京工業大學獲得非線性物理學博士學位。他曾在東京工業大學和中央大學工作，自1997年起一直在中央大學（日本東京）任職。他目前擔任該大學的教授職位。他的主要研究興趣是生物信息學領域，特別是使用線性代數進行多組學數據分析。田口博士出版了一本關於生物信息學的書籍，發表了150多篇期刊論文、專書章節和會議論文，並根據斯坦福大學的分析和Elsevier在生物信息學領域的報告，在連續三年（2021年、2022年、2023年）被譽為全球前2%的科學家。

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