Dynamic Graph Learning for Dimension Reduction and Data Clustering Dynamic Graph Learning for Dimension Reduction and Data Clustering

Dynamic Graph Learning for Dimension Reduction and Data Clustering

Lei Zhu and Others
    • 34,99 €
    • 34,99 €

Publisher 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.

GENRE
Science & Nature
RELEASED
2023
20 September
LANGUAGE
EN
English
LENGTH
164
Pages
PUBLISHER
Springer Nature Switzerland
PROVIDER INFO
Springer Science & Business Media LLC
SIZE
18.9
MB
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