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Journal of the American Statistical Association Volume 118, 2023 - Issue 541
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Theory and Methods

Eigen Selection in Spectral Clustering: A Theory-Guided Practice

Xiao Hana International Institute of Finance, School of Management, University of Science and Technology of China, Hefei, Anhui, ChinaView further author information
,
Xin Tongb Data Sciences and Operations, Department, University of Southern California, Los Angeles, CACorrespondence[email protected]
View further author information
&
Yingying Fanb Data Sciences and Operations, Department, University of Southern California, Los Angeles, CAView further author information
Pages 109-121 | Received 06 Jun 2020, Accepted 09 Apr 2021, Published online: 03 Jun 2021

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Read on this site (2)

Leo L. Duan & Arkaprava Roy. (2023) Spectral Clustering, Bayesian Spanning Forest, and Forest Process. Journal of the American Statistical Association 0:0, pages 1-14.
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Jiashun Jin, Zheng Tracy Ke, Shengming Luo & Minzhe Wang. (2023) Optimal Estimation of the Number of Network Communities. Journal of the American Statistical Association 118:543, pages 2101-2116.
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Articles from other publishers (6)

Mehrad Jaberi & Hamid Mala. (2024) Privacy-preserving eigenvector computation with applications in spectral clustering. International Journal of Information Technology.
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Wujian Ye, Jiada Wang, Yongda Cai, Yijun Liu, Huihui Zhou & Chin-chen Chang. (2024) Joint learning of fuzzy embedded clustering and non-negative spectral clustering. Multimedia Tools and Applications.
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Zhentao Zhang & Jinru Wang. (2023) Upper bound estimations of misclassification rate in the heteroscedastic clustering model with sub‐Gaussian noises. Stat 12:1.
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Lorentz Jäntschi. (2023) Eigenproblem Basics and Algorithms. Symmetry 15:11, pages 2046.
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Francesco Sanna Passino & Nicholas A. Heard. (2022) Latent structure blockmodels for Bayesian spectral graph clustering. Statistics and Computing 32:2.
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Wei Liu, Yuyang Xu, Anqi Wang, Tao Huang & Zhonghua Liu. (2021) The eigen higher criticism and eigen Berk–Jones tests for multiple trait association studies based on GWAS summary statistics. Genetic Epidemiology 46:2, pages 89-104.
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