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-package

diceR: Diverse Cluster Ensemble in R