Cutoff for exact recovery of Gaussian mixture models
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Abstract (arXiv)
We determine the information-theoretic cutoff value on separation of cluster centers for exact recovery of cluster labels in a K-component Gaussian mixture model with equal cluster sizes. Moreover, we show that a semidefinite programming (SDP) relaxation of the K-means clustering method achieves such sharp threshold for exact recovery without assuming the symmetry of cluster centers.
Key facts. Cited by 18 papers in the map (data through 7 Oct 2026). First posted on arXiv 5 Jan 2020.
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Citing papers per year: 2022: 5; 2023: 2; 2024: 3; 2025: 3; 2026: 5.
18 papers.
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- 2022Wasserstein K-means for clustering probability distributionscited by 16
- 2023Statistically Optimal K-means Clustering via Nonnegative Low-rank Semidefinite Programmingcited by 9
- 2023Exact Recovery and Bregman Hard Clustering of Node-Attributed Stochastic Block Modelcited by 7
- 2022Sketch-and-Lift: Scalable Subsampled Semidefinite Program for K-means Clusteringcited by 6
- 2022Optimal Clustering by Lloyd Algorithm for Low-Rank Mixture Modelcited by 5
- 2022GeONet: a neural operator for learning the Wasserstein geodesiccited by 3
- 2024Universal Lower Bounds and Optimal Rates: Achieving Minimax Clustering Error in Sub-Exponential Mixture Modelscited by 3
- 2022Likelihood Adjusted Semidefinite Programs for Clustering Heterogeneous Datacited by 2
- 2025Scalable Second-order Riemannian Optimization for K-means Clusteringcited by 2
- 2025Nonnegative Low-rank Matrix Recovery Can Have Spurious Local Minimacited by 1
- 2025Graph-based Clustering Revisited: A Relaxation of Kernel k-Means Perspectivecited by 1
- 2026Learning Multi-type heterogeneous interacting particle systemscited by 1
6 more
- 2026The Catastrophic Failure of The k-Means Algorithm in High Dimensions, and How Hartigan's Algorithm Avoids Itcited by 1
- 2024Model Selection and Parameter Estimation of One-Dimensional Gaussian Mixture Modelscited by 0
- 2024Adaptive Mean Estimation in the Hidden Markov sub-Gaussian Mixture Modelcited by 0
- 2026One-Bit Clustering for Two Component Sub-Gaussian Mixture Modelscited by 0
- 2026Riemannian Difference-of-Convex Optimization for K-Means Clusteringcited by 0
- 2026GEM-KMeans: Memory-Efficient and Accurate Clustering on Massive Scale with GPU Optimizationcited by 0
- 2026GEM-KMeans: Memory-Efficient and Accurate Clustering on Massive Scale with GPU Optimization28 Sep 2026
- 2026Riemannian Difference-of-Convex Optimization for K-Means Clustering28 Sep 2026
- 2026One-Bit Clustering for Two Component Sub-Gaussian Mixture Models20 Jun 2026
- 2026The Catastrophic Failure of The k-Means Algorithm in High Dimensions, and How Hartigan's Algorithm Avoids It10 Feb 2026
- 2026Learning Multi-type heterogeneous interacting particle systems3 Feb 2026
- 2025Scalable Second-order Riemannian Optimization for K-means Clustering25 Sep 2025
- 2025Graph-based Clustering Revisited: A Relaxation of Kernel k-Means Perspective23 Sep 2025
- 2025Nonnegative Low-rank Matrix Recovery Can Have Spurious Local Minima6 May 2025
- 2024Adaptive Mean Estimation in the Hidden Markov sub-Gaussian Mixture Model18 Jun 2024
- 2024Model Selection and Parameter Estimation of One-Dimensional Gaussian Mixture Models19 Apr 2024
- 2024Universal Lower Bounds and Optimal Rates: Achieving Minimax Clustering Error in Sub-Exponential Mixture Models23 Feb 2024
- 2023Exact Recovery and Bregman Hard Clustering of Node-Attributed Stochastic Block Model30 Oct 2023
6 more
- 2023Statistically Optimal K-means Clustering via Nonnegative Low-rank Semidefinite Programming29 May 2023
- 2022Likelihood Adjusted Semidefinite Programs for Clustering Heterogeneous Data29 Sep 2022
- 2022GeONet: a neural operator for learning the Wasserstein geodesic28 Sep 2022
- 2022Wasserstein K-means for clustering probability distributions14 Sep 2022
- 2022Optimal Clustering by Lloyd Algorithm for Low-Rank Mixture Model11 Jul 2022
- 2022Sketch-and-Lift: Scalable Subsampled Semidefinite Program for K-means Clustering20 Jan 2022
- 2022Wasserstein K-means for clustering probability distributionscited by 16
- 2023Statistically Optimal K-means Clustering via Nonnegative Low-rank Semidefinite Programmingcited by 9
- 2023Exact Recovery and Bregman Hard Clustering of Node-Attributed Stochastic Block Modelcited by 7
- 2022Sketch-and-Lift: Scalable Subsampled Semidefinite Program for K-means Clusteringcited by 6
- 2022Optimal Clustering by Lloyd Algorithm for Low-Rank Mixture Modelcited by 5
- 2022GeONet: a neural operator for learning the Wasserstein geodesiccited by 3
- 2024Universal Lower Bounds and Optimal Rates: Achieving Minimax Clustering Error in Sub-Exponential Mixture Modelscited by 3
- 2022Likelihood Adjusted Semidefinite Programs for Clustering Heterogeneous Datacited by 2
- 2025Scalable Second-order Riemannian Optimization for K-means Clusteringcited by 2
- 2025Nonnegative Low-rank Matrix Recovery Can Have Spurious Local Minimacited by 1
- 2025Graph-based Clustering Revisited: A Relaxation of Kernel k-Means Perspectivecited by 1
- 2026Learning Multi-type heterogeneous interacting particle systemscited by 1
12 most cited of 18 All 18 (JSON)
- 2026GEM-KMeans: Memory-Efficient and Accurate Clustering on Massive Scale with GPU Optimization28 Sep 2026
- 2026Riemannian Difference-of-Convex Optimization for K-Means Clustering28 Sep 2026
- 2026One-Bit Clustering for Two Component Sub-Gaussian Mixture Models20 Jun 2026
- 2026The Catastrophic Failure of The k-Means Algorithm in High Dimensions, and How Hartigan's Algorithm Avoids It10 Feb 2026
- 2026Learning Multi-type heterogeneous interacting particle systems3 Feb 2026
- 2025Scalable Second-order Riemannian Optimization for K-means Clustering25 Sep 2025
- 2025Graph-based Clustering Revisited: A Relaxation of Kernel k-Means Perspective23 Sep 2025
- 2025Nonnegative Low-rank Matrix Recovery Can Have Spurious Local Minima6 May 2025
- 2024Adaptive Mean Estimation in the Hidden Markov sub-Gaussian Mixture Model18 Jun 2024
- 2024Model Selection and Parameter Estimation of One-Dimensional Gaussian Mixture Models19 Apr 2024
- 2024Universal Lower Bounds and Optimal Rates: Achieving Minimax Clustering Error in Sub-Exponential Mixture Models23 Feb 2024
- 2023Exact Recovery and Bregman Hard Clustering of Node-Attributed Stochastic Block Model30 Oct 2023
12 newest of 18 All 18 (JSON)