pam_clust_from_adj_mat: PAM (k-medoids) clustering from adjacency matrix

In ConsensusClustering: Consensus Clustering

PAM (k-medoids) clustering from adjacency matrix

Description

PAM (k-medoids) clustering from adjacency matrix

Usage

pam_clust_from_adj_mat(adj.mat, k = 2, alpha = 1, adj.conv = TRUE)

Arguments

adj.mat	adjacency matrix
k	number of clusters (default=2)
alpha	soft threshold (considered if adj.conv = TRUE) (default=1)
adj.conv	binary value to apply soft thresholding (default=TRUE)

Details

apply PAM (k-medoids) clustering on the adjacency matrix

Value

vector of clusters

Examples

Adj_mat = rbind(c(0.0,0.9,0.0),
                c(0.9,0.0,0.2),
                c(0.0,0.2,0.0))
pam_clust_from_adj_mat(Adj_mat)

ConsensusClustering documentation built on Sept. 11, 2024, 6:38 p.m.