Dynamic Graph Learning for Dimension Reduction and Data Clustering

個数:1
紙書籍版価格
¥9,975
  • 電子書籍

Dynamic Graph Learning for Dimension Reduction and Data Clustering

  • 著者名:Zhu, Lei/Li, Jingjing/Zhang, Zheng
  • 価格 ¥8,093 (本体¥7,358)
  • Springer(2023/09/20発売)
  • ポイント 73pt (実際に付与されるポイントはご注文内容確認画面でご確認下さい)
  • 言語:ENG
  • ISBN:9783031423123
  • eISBN:9783031423130

ファイル: /

Description

This book illustrates how to achieve effective dimension reduction and data clustering. The authors explain how to accomplish this by utilizing the advanced dynamic graph learning technique in the era of big data. The book begins by providing background on dynamic graph learning. The authors discuss why it has attracted considerable research attention in recent years and has become well recognized as an advanced technique. After covering the key topics related to dynamic graph learning, the book discusses the recent advancements in the area. The authors then explain how these techniques can be practically applied for several purposes, including feature selection, feature projection, and data clustering.

Table of Contents

Introduction.- Dynamic Graph Learning for Feature Projection.- Dynamic Graph Learning for Feature Selection.- Dynamic Graph Learning for Data Clustering.- Research Frontiers.

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