hir_clust_from_adj_mat {ConsensusClustering}

Hierarchical clustering from adjacency matrix

Description

Hierarchical clustering from adjacency matrix

Usage

hir_clust_from_adj_mat(
  adj.mat,
  k = 2,
  alpha = 1,
  adj.conv = TRUE,
  method = "ward.D"
)

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)

method

distance method (default: ward.D)

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))
hir_clust_from_adj_mat(Adj_mat)