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ACC of NFRFS with different values of <i>β</i> on different datasets.

ACC of NFRFS with different values of <i>β</i> on different datasets.

<p>ACC of NFRFS with different values of <i>β</i> on different datasets.</p>

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Bibliographic Details
Main Author: Wei Liu (20030) (author)
Other Authors: Qian Ning (289512) (author), Guangwei Liu (181992) (author), Haonan Wang (667218) (author), Yixin Zhu (8174733) (author), Miao Zhong (313963) (author)
Published: 2025
Subjects:
Biochemistry
Cell Biology
Evolutionary Biology
Space Science
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Chemical Sciences not elsewhere classified
Information Systems not elsewhere classified
local geometric structure
features exhibiting sparsity
adaptive graph learning
feature selection process
feature selection matrix
div >< p
14 benchmark datasets
feature reconstruction spaces
norm feature reconstruction
feature reconstruction
p </
flexible norm
diverse datasets
spatial distance
results indicate
regularization constraint
outliers effectively
often fails
numerical studies
nfrfs ).
low redundancy
l </
inner product
handle noise
fixed distance
enhances adaptability
compute residuals
approach struggles
2 ,<
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