Man pages for diceR
Diverse Cluster Ensemble in R
| compactness | Compactness Measure |
| consensus_cluster | Consensus clustering |
| consensus_combine | Combine algorithms |
| consensus_evaluate | Evaluate, trim, and reweigh algorithms |
| consensus_matrix | Consensus matrix |
| CSPA | Cluster-based Similarity Partitioning Algorithm (CSPA) |
| dice | Diverse Clustering Ensemble |
| diceR-package | diceR: Diverse Cluster Ensemble in R |
| external_validity | External validity indices |
| graphs | Graphical Displays |
| hgsc | Gene expression data for High Grade Serous Carcinoma from... |
| impute_knn | K-Nearest Neighbours imputation |
| impute_missing | Impute missing values |
| k_modes | K-modes |
| LCA | Latent Class Analysis |
| LCE | Linkage Clustering Ensemble |
| majority_voting | Majority voting |
| min_fnorm | Minimize Frobenius norm for between two matrices |
| PAC | Proportion of Ambiguous Clustering |
| pcn | Simulate and select null distributions on empirical gene-gene... |
| prepare_data | Prepare data for consensus clustering |
| relabel_class | Relabel classes to a standard |
| sigclust | Significant Testing of Clustering Results |
| similarity | Similarity Matrices |
