Structure Preserving Unsupervised Feature Selection Based on Autoencoder and Manifold Regularization

Structure Preserving Unsupervised Feature Selection Based on Autoencoder and Manifold Regularization

There are a lot of redundant and irrelevant features in high-dimensional data,which seriously affect the efficiency and quality of data mining and the generalization performance of machine learning.Therefore,feature selection has become an important research direction in the computer field.In this p...

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Bibliographic Details
Main Author:	YANG Lei, JIANG Ai-lian, QIANG Yan
Format:	Article
Language:	zho
Published:	Editorial office of Computer Science 2021-08-01
Series:	Jisuanji kexue
Subjects:	feature selection\|subspace learning\|manifold regularization\|structure preservation\|autoencoder
Online Access:	http://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2021-8-53.pdf

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