Kniha Dynamic Graph Learning for Dimension Reduction and Data Clustering Lei Zhu

Dynamic Graph Learning for Dimension Reduction and Data Clustering

Jazyk: Angličtina
Väzba: Pevná
Vydavateľ: Springer, Berlin
Dostupnosť: Skladom u dodávateľa
Odosielame za 10-13 dní
39.29
This book illustrates how to achieve effective dimension reduction and data clustering. The authors...

Informácie o knihe

Jazyk
Angličtina
Väzba
Kniha - Pevná
Vydalo
2024
Stránok
168
EAN
9783031423123
Enbook ID
43830954
Vydavateľ
Hmotnosť
469
Rozmery
168 x 240

Kompletný popis

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.

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