Title
Discriminative globality and locality preserving graph embedding for dimensionality reduction
Abstract
•Propose the DGLPGE method.•Design new local and global graph constructions.•Characterize locality and globality preserving scatters.•It can capture the geometry of data and enhance pattern discrimination.
Year
DOI
Venue
2020
10.1016/j.eswa.2019.113079
Expert Systems with Applications
Keywords
Field
DocType
Dimensionality reduction,Graph embedding,Graph construction,Pattern classification
Data mining,Locality,Dimensionality reduction,Pattern recognition,Pattern discrimination,Graph embedding,Discriminant,Computer science,Artificial intelligence,Discriminative model,Class discrimination,Globality
Journal
Volume
ISSN
Citations 
144
0957-4174
3
PageRank 
References 
Authors
0.36
0
6
Name
Order
Citations
PageRank
Jianping Gou111624.01
Yuanyuan Yang2489171.03
Zhang Yi31765194.41
Jian Cheng Lv433754.52
Qirong Mao526134.29
Yongzhao Zhan634451.09