HCtbl {CluMSID} | R Documentation

## Hierarchical clustering of spectral similarity data

### Description

`HCtbl()` performs hierarchical clustering of spectral similarity data using average linkage as agglomeration criterion.

### Usage

    HCtbl(distmat, h = 0.95)

### Arguments

`distmat` | A distance matrix as generated by `distanceMatrix`.
`h` | Height where the tree is to be cut, defaults to `0.95`. See `cutree` for details.

### Value

A `data.frame` with name and cluster ID for each feature in `distmat`.

### See Also

`HCplot`

### Examples

    load(file = system.file("extdata",
        "distmat.RData",
        package = "CluMSIDdata"))

    my_HCtbl <- HCtbl(distmat[1:50,1:50], h = 0.8)

[Package CluMSID version 1.2.1 Index]