Research map / Learning theory and algorithms / Clustering
CoDiNMF: Co-Clustering of Directed Graphs via NMF
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add directed subgraphs (Z, S) and net-flow term to co-clustering (ablation) | CoDiNMF (vs CoNMF) · US patent A22 | average F1: 0.242 -> 0.367 | Helped |
| add directed subgraphs and net-flow term (ablation) | CoDiNMF (vs CoNMF) · US patent B68 | adjusted Rand index: 0.239 -> 0.275 | Helped |
| add directed subgraphs and net-flow term (ablation) | CoDiNMF (vs CoNMF) · BlogCatalog | average F1: 0.249 -> 0.262 | Helped |
| add directed subgraphs and net-flow term (ablation) | CoDiNMF (vs CoNMF) · US patent A22 | Rand index: 0.976 -> 0.979 | No clear effect |
| use nonzero lambda for net-directional-flow term (ablation) | CoDiNMF · US patent C14 | F1 and ARI | Helped |
| replace spectral co-clustering with NMF-based method on directed graphs | CoDiNMF (vs SCo) · US patent A22 | average F1: 0.124 -> 0.367 | Helped |
| use net-flow control term in philosopher co-clusters | CoDiNMF · Wikipedia philosophers | proportion of cluster pairs with clear net flow | Helped |
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