Papers › Dynamic Spectral Clustering with Provable Approximation Guarantee

Dynamic Spectral Clustering with Provable Approximation Guarantee

5 Jun 2024arXiv:2406.03152archive 2025-07-28

Steinar Laenen, He Sun

This paper studies clustering algorithms for dynamically evolving graphs {Gₜ}, in which new edges (and potential new vertices) are added into a graph, and the underlying cluster structure of the graph can gradually change. The paper proves that, under some mild condition on the cluster-structure, the clusters of the final graph G_T of n_T vertices at time T can be well approximated by a dynamic variant of the spectral clustering algorithm. The algorithm runs in amortised update time O(1) and query time o(n_T). Experimental studies on both synthetic and real-world datasets further confirm the practicality of our designed algorithm.

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Syntology Ran 4 of 7 code samples harvested from 1 repository linked to this paper; 3 have no recorded run. Of those that ran: 1 ran · violated contract; 1 ran · our draft was wrong; 1 ran · fixture could not drive it; 1 ran with no contract checked.

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7 samples harvested; 4 ran; 0 honoured the contract we drafted; 3 have no recorded run. Read from Syntology's graph 2026-09-24; that is when this build read the record, not when the samples ran.

1ran · violated contract
1ran · our draft was wrong
1ran · fixture could not drive it
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clusters_to_labels steinarlaenen/Dynamic-Spectral-Clustering-With-Provable-Approximation-Guarantee/src/spectral_clustering.py official repository ran · violated contract MIT (permissive) · 23d2223a3acb9902 · report
compute_normalized_laplacian steinarlaenen/Dynamic-Spectral-Clustering-With-Provable-Approximation-Guarantee/src/spectral_clustering.py official repository ran · our draft was wrong MIT (permissive) · 92414b27c51942e2 · report
load_experiment_data SteinarLaenen/Dynamic-Spectral-Clustering-With-Provable-Approximation-Guarantee/plots/plot_mnist_emnist.py official repository ran MIT (permissive) · c704390cd00b7a76 · report
randomize_dataset_classes steinarlaenen/Dynamic-Spectral-Clustering-With-Provable-Approximation-Guarantee/knn_experiments.py official repository ran · fixture could not drive it MIT (permissive) · e3f8f23915a8b687 · report
build_initial_graph SteinarLaenen/Dynamic-Spectral-Clustering-With-Provable-Approximation-Guarantee/src/datasets.py official repository unverified MIT (permissive) · f4f84f3ad175586d · report
plot_spectral_clustering_results_all SteinarLaenen/Dynamic-Spectral-Clustering-With-Provable-Approximation-Guarantee/plots/plot_mnist_emnist.py official repository unverified MIT (permissive) · 7a0923d1ac32ea33 · report
plot_spectral_clustering_results_all SteinarLaenen/Dynamic-Spectral-Clustering-With-Provable-Approximation-Guarantee/plots/plot_sbm_all.py official repository unverified MIT (permissive) · de55ba8a8d4aa9bf · report

Tasks

Clustering

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Methods

Spectral Clustering

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