Unsupervised Feature Selection Algorithm Based on Laplace Rank Constraint and Local Structure Preservation

Feature selection aims to select an optimal feature subset to reduce the dimension of original data, thereby solving the "dimension disaster" problem effectively. For feature selection, preserving the local manifold structure of the data is crucial, so how to learn an excellent local manif...

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Veröffentlicht in:	IAENG international journal of computer science 2024-12, Vol.51 (12), p.1914
Hauptverfasser:	Meng, Yingying, Li, Qiaoyan, Yang, Xiaofei, Dai, Xuezhen
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Constraints Feature selection Manifolds (mathematics) Optimization Redundancy Regularization Similarity
Online-Zugang:	Volltext
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