hir_clust_from_adj_mat | R Documentation |

Hierarchical clustering from adjacency matrix

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

`adj.mat` |
adjacency matrix |

`k` |
number of clusters (default=2) |

`alpha` |
soft threshold (considered if |

`adj.conv` |
binary value to apply soft thresholding (default=TRUE) |

`method` |
distance method (default: |

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

vector of clusters

```
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)
```

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