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The proposed algorithm utilizes the local mutual representation method to effectively discover multiple local neighborhood structures surrounding the instances.
The locally linear embedding algorithm (LLE) mainly extracts significant features by mining the local neighborhood structure of the data.
To diagnose faults in distribution networks, this paper presents a fault diagnosis method for the distribution network based on the D-S evidence theory Bayesian ...
A novel local linear embedding algorithm via local mutual representation for bearing fault diagnosis. https://doi.org/10.1016/j.ress.2024.110135 ·.
The locally linear embedding algorithm (LLE) mainly extracts significant features by mining the local neighborhood structure of the data.
In this paper a novel machinery fault diagnosis approach based on a statistical locally linear embedding (S-LLE) algorithm which is an extension of LLE by ...
Jun 4, 2024 · In this paper a novel machinery fault diagnosis approach based on a statistical locally linear embedding (S-LLE) algorithm which is an ...
Nov 21, 2023 · To address this challenge, this work proposed an anti-noise algorithm based on locally linear embedding integrated with diffusion distance and ...
Missing: mutual | Show results with:mutual
A novel local linear embedding algorithm via local mutual representation for bearing fault diagnosis. Reliab. Eng. Syst. Saf. 247: 110135 (2024). [j9]. view.
A novel machinery fault diagnosis approach based on a statistical locally linear embedding (S-LLE) algorithm which is an extension of LLE by exploiting the ...
Missing: via mutual