| approxSilhouette | Approximate silhouette width |
| BlusterParam-class | The BlusterParam class |
| bootstrapStability | Assess cluster stability by bootstrapping |
| clusterRows | Cluster rows of a matrix |
| clusterRows-method | Hierarchical clustering |
| clusterRows-method | K-means clustering |
| clusterRows-method | Graph-based clustering |
| clusterRows-method | Two step clustering with vector quantization |
| HclustParam | Hierarchical clustering |
| HclustParam-class | Hierarchical clustering |
| KmeansParam | K-means clustering |
| KmeansParam-class | K-means clustering |
| makeKNNGraph | Build a nearest-neighbor graph |
| makeSNNGraph | Build a nearest-neighbor graph |
| mergeCommunities | Merge communities from graph-based clustering |
| neighborPurity | Compute neighborhood purity |
| neighborsToKNNGraph | Build a nearest-neighbor graph |
| neighborsToSNNGraph | Build a nearest-neighbor graph |
| NNGraphParam | Graph-based clustering |
| NNGraphParam-class | Graph-based clustering |
| pairwiseModularity | Compute pairwise modularity |
| pairwiseRand | Compute pairwise Rand indices |
| show-method | The BlusterParam class |
| show-method | Hierarchical clustering |
| show-method | K-means clustering |
| show-method | Graph-based clustering |
| show-method | Two step clustering with vector quantization |
| TwoStepParam | Two step clustering with vector quantization |
| TwoStepParam-class | Two step clustering with vector quantization |
| [[-method | The BlusterParam class |
| [[<--method | The BlusterParam class |