Unsupervised Feature Extraction Applied to Bioinformatics: A Pca Based and TD Based Approach
暫譯: 應用於生物資訊學的無監督特徵提取：基於 PCA 和 TD 的方法

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: $8,600
  • 貴賓價: 9.5 折 $8,170
  • 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)

這本更新的書籍提出了張量分解在無監督特徵提取和特徵選擇中的應用。作者認為，儘管包括深度學習在內的監督方法已變得流行，但無監督方法有其自身的優勢。他主張，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論。本書從非常基本的線性代數開始，並達到應用於特徵（變數）數量眾多而樣本數量有限的困難情況下的尖端方法論。作者包括了有關張量分解的進階描述，包括使用高階奇異值分解的Tucker分解以及高階正交迭代和訓練張量分解。作者最後展示了無監督方法及其在廣泛主題中的應用。

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)

田口教授目前是中央大學物理系的教授。田口教授於1986年在日本東京工業大學獲得統計物理碩士學位，並於1988年在東京工業大學獲得非線性物理博士學位。他曾在東京工業大學和中央大學工作，自1997年以來一直在中央大學（東京，日本）任教，目前擔任該校教授。他的主要研究興趣在於生物資訊學領域，特別是使用線性代數進行多組學數據分析。田口博士已出版一本生物資訊學書籍，發表了超過150篇期刊論文、書籍章節及會議論文，並根據美國史丹佛大學的分析及Elsevier在生物資訊學的報告，連續三年（2021、2022、2023）被認定為全球前2%的科學家。

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