Fitness versus iterations based on different clustering algorithms. by Yiwei Zhao (2729758)

“…<p>Fitness versus iterations based on different clustering algorithms.</p>…”

Comparison of time consumed by different clustering algorithms when K value is known and the score. by Ge Wang (56838)

“…<p>Comparison of time consumed by different clustering algorithms when K value is known and the score.…”

Comparison of time consumed by different clustering algorithms when K value is known and the score. by Ge Wang (56838)

“…<p>Comparison of time consumed by different clustering algorithms when K value is known and the score.…”

AMI, ARI and NMI accuracy on two real-world networks. by Yasamin Tabatabaee (18095491)

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Experiment 2: Evaluating modularity-based consensus clustering pipelines on synthetic networks based on clustered real-world networks. by Yasamin Tabatabaee (18095491)

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Experiment 4: Accuracy of modularity-based consensus clustering methods on ring-of-cliques networks of varying sizes. by Yasamin Tabatabaee (18095491)

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Experiment 4: Evaluating modularity-based clustering methods on tree-of-cliques networks. by Yasamin Tabatabaee (18095491)

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List of abbreviations. by Yasamin Tabatabaee (18095491)

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Evaluating stability across multiple stochastic runs on the algorithm design datasets. by Yasamin Tabatabaee (18095491)

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Experiment 3: Comparison of FastEnsemble(Leiden-CPM) and Leiden-CPM on synthetic networks based on clustered real-world networks. by Yasamin Tabatabaee (18095491)

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Empirical statistics of the networks used in this study. by Yasamin Tabatabaee (18095491)

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Experiment 1a: Setting the default value for t in FastEnsemble. by Yasamin Tabatabaee (18095491)

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Experiment 5: Clustering networks that are only partially clusterable. by Yasamin Tabatabaee (18095491)

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Experiment 1b: Evaluating modularity-based consensus clustering pipelines on the algorithm design datasets as a function of the mixing parameter. by Yasamin Tabatabaee (18095491)

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Experiment 4: Evaluating CPM-based clustering methods on ring-of-cliques networks. by Yasamin Tabatabaee (18095491)

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Comparison with baseline clustering techniques. by Sayantan Kumar (20208872)

“…<p>Clustering statistics of different clustering algorithms: hierarchical clustering, PAM, random SillyPutty and our method hierarchical SillyPutty (from top to bottom). …”

Spatial domain analysis of human breast cancer tissue using 10x Xenium data. by Ian K. Gingerich (22822222)

“…<b>D: Influence of Smoothing Parameters on Clustering</b> — ARI values for RASP plotted against smoothing distance (top) and kNN (right), with colors indicating different clustering algorithms.</p>…”

Covariate analysis (Mouse ovary dataset) for the cell type clustering case. by Ian K. Gingerich (22822222)

“…Columns represent different clustering algorithms, while rows show the impact of different covariates: local cell density (top), cell library size (middle), and cell volume (bottom).…”