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portada Dynamic Graph Learning for Dimension Reduction and Data Clustering
Type
Physical Book
Author
Publisher
Language
English
Pages
143
Format
Hardcover
Dimensions
24.4 x 17.0 x 1.4 cm
Weight
0.50 kg.
ISBN13
9783031423123
Edition No.
1
Categories

Dynamic Graph Learning for Dimension Reduction and Data Clustering

Lei Zhu (Author) · Zheng Zhang (Author) · Jingjing Li (Author) · Springer · Hardcover

Dynamic Graph Learning for Dimension Reduction and Data Clustering - Zhu, Lei ; Li, Jingjing ; Zhang, Zheng

New Book Imported to Taiwan
Delivery: 16 Sep - 25 Sep Shipping: 12 to 14 business days.
NT$ 1,585
NT$ 1,585

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

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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The binding of this edition is Hardcover.

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