# Diverse Cluster Ensemble in R

## Documentation for package ‘diceR’ version 1.0.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

asrs | Similarity Matrices
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)
cts | Similarity Matrices
dice | Diverse Clustering Ensemble
ev_confmat | External validity indices
ev_nmi | External validity indices
external_validity | External validity indices
graphs | Graphical Displays
graph_all | Graphical Displays
graph_cdf | Graphical Displays
graph_delta_area | Graphical Displays
graph_heatmap | Graphical Displays
graph_tracking | Graphical Displays
hgsc | Gene expression data for High Grade Serous Carcinoma from TCGA
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 correlations
pcn_select | Simulate and select null distributions on empirical gene-gene correlations
pcn_simulate | Simulate and select null distributions on empirical gene-gene correlations
prepare_data | Prepare data for consensus clustering
relabel_class | Relabel classes to a standard
sigclust | Significant Testing of Clustering Results
similarity | Similarity Matrices
srs | Similarity Matrices