Man pages for LTLA/bluster
Clustering Algorithms for Bioconductor
| AffinityParam-class | Affinity propogation |
| AgnesParam-class | Agglomerative nesting |
| approxSilhouette | Approximate silhouette width |
| bluster-package | bluster: Clustering Algorithms for Bioconductor |
| BlusterParam-class | The BlusterParam class |
| bootstrapStability | Assess cluster stability by bootstrapping |
| ClaraParam-class | Clustering Large Applications |
| clusterRMSD | Compute the RMSD per cluster |
| clusterRows | Cluster rows of a matrix |
| clusterSweep | Clustering parameter sweeps |
| compareClusterings | Compare pairs of clusterings |
| DbscanParam-class | Density-based clustering with DBSCAN |
| defaultArguments | Define the default arguments |
| DianaParam-class | Divisive analysis clustering |
| DmmParam-class | Dirichlet multinomial mixture clustering |
| FixedNumberParam-class | The FixedNumberParam class |
| HclustParam-class | Hierarchical clustering |
| HierarchicalParam-class | The HierarchicalParam class |
| KmeansParam-class | K-means clustering |
| linkClusters | Create a graph between different clusterings |
| makeSNNGraph | Build a nearest-neighbor graph |
| MbkmeansParam-class | Mini-batch k-means clustering |
| mergeCommunities | Merge communities from graph-based clustering |
| neighborPurity | Compute neighborhood purity |
| nestedClusters | Map nested clusterings |
| NNGraphParam-class | Graph-based clustering |
| pairwiseModularity | Compute pairwise modularity |
| pairwiseRand | Compute pairwise Rand indices |
| PamParam-class | Partitioning around medoids |
| SomParam-class | Clustering with self-organizing maps |
| TwoStepParam-class | Two step clustering with vector quantization |
