A local adaptive fuzzy spectral clustering method for robust and practical clustering

Abstract Traditional spectral clustering algorithms are sensitive to the similarity matrix, which impacts their performance. To address this, a local adaptive fuzzy spectral clustering (FSC) method is introduced, incorporating a fuzzy index to reduce this sensitivity. FSC also simplifies the traditi...

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Bibliographic Details
Main Authors:	Qiangguo Yu, Liangquan Jia, Yuxuan Shao, Jianhao He, Jinsheng Wang, Xinhui Yuan, Miao Huan, Yi Yang
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-03-01
Series:	Scientific Reports
Subjects:	Similarity matrix Sensitivity Fuzzy index Local adaptive clustering Applicability
Online Access:	https://doi.org/10.1038/s41598-025-91812-4
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A local adaptive fuzzy spectral clustering method for robust and practical clustering

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