Sub-Graph Regularization on Kernel Regression for Robust Semi-Supervised Dimensionality Reduction

Sub-Graph Regularization on Kernel Regression for Robust Semi-Supervised Dimensionality Reduction

Dimensionality reduction has always been a major problem for handling huge dimensionality datasets. Due to the utilization of labeled data, supervised dimensionality reduction methods such as Linear Discriminant Analysis tend achieve better classification performance compared with unsupervised metho...

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Bibliographic Details
Main Authors: Jiao Liu, Mingbo Zhao, Weijian Kong
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Entropy
Subjects:
kernel regression
semi-supervised learning
dimensionality reduction
anchor graph regularization
Online Access:https://www.mdpi.com/1099-4300/21/11/1125

Internet

https://www.mdpi.com/1099-4300/21/11/1125

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