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Functions

consensus_cluster()
Consensus clustering
consensus_combine()
Combine algorithms
consensus_evaluate()
Evaluate, trim, and reweigh algorithms
consensus_matrix()
Consensus matrix
graph_cdf() graph_delta_area() graph_heatmap() graph_tracking() graph_all()
Graphical Displays
ev_nmi() ev_confmat()
External validity indices
impute_knn()
K-Nearest Neighbours imputation
impute_missing()
Impute missing values
pcn_simulate() pcn_select()
Simulate and select null distributions on empirical gene-gene correlations
dice()
Diverse Clustering Ensemble
CSPA()
Cluster-based Similarity Partitioning Algorithm (CSPA)
k_modes()
K-modes
majority_voting()
Majority voting
LCE()
Linkage Clustering Ensemble
LCA()
Latent Class Analysis
PAC()
Proportion of Ambiguous Clustering
cts() srs() asrs()
Similarity Matrices
compactness()
Compactness Measure
prepare_data()
Prepare data for consensus clustering
relabel_class()
Relabel classes to a standard
min_fnorm()
Minimize Frobenius norm for between two matrices
sigclust()
Significant Testing of Clustering Results

Data

hgsc
Gene expression data for High Grade Serous Carcinoma from TCGA

Package Documentation

diceR diceR-package
diceR: Diverse Cluster Ensemble in R