BenchClust
This repository includes benchmarking for clustering and community detection techniques.
- Summary of domain-agnostic clustering techniques. Method names along with their corresponding algorithmic details and computing platforms are provided.
| Method Type | Algorithm | Library (function) [platform] |
|---|---|---|
| Partitional | k-means | stats (k-means) [R] |
| Linkage | Hierarchical | cluster (agnes) [R] |
| Model-based: Gaussian Mixtures | Hcmodel | mclust (hc) [R] |
| Density-based | DBSCAN | dbscan (dbscan) [R] |
| Subspace-based | Hddc | HDclassif (hddc) [R] |
| Graph-based: Community Detection | Louvain | igraph(louvain) [R] |
| Graph-based: Community Detection | Infomap | igraph(louvain) [R] |
| Graph-based: Shared nearest neighbor | SNNclust | dbscan (sNNclust) [R] |
Know more: Github BenchClust