CS-7863-HW3
Network Clustering using Laplace spectral clustering, Newman modularity, recursive Newman modularity, TOM, dynamic tree cut, and UMAP.
- Return cluster membership based on the Laplace spectral clustering algorithm for a single split of a network.
- Implement Newman modularity with a B matrix for a single split of a network.
- Run the recursive Newman modularity algorithm and discuss the difference between the predicted clusters and the actual Factions.
- Perform hierachical clustering with Topological Overlap Matrix (TOM) and WGCNA dynamic tree cut.
- Test UMAP on a network with its distance matrix.
- Compare the clustering methods.
Description
Network Clustering using Laplace spectral clustering, Newman modularity, recursive Newman modularity, TOM, dynamic tree cut, and UMAP.
Languages
R
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