cluster_by_kmeans {simplifyEnrichment} | R Documentation

## Cluster similarity matrix by k-means clustering

### Description

Cluster similarity matrix by k-means clustering

### Usage

    cluster_by_kmeans(mat, max_k = max(2, min(round(nrow(mat)/5), 100)), ...)

### Arguments

`mat` | The similarity matrix.
`max_k` | maximal k for k-means clustering.
`...` | Other arguments passed to `kmeans`.

### Details

The best number of k for k-means clustering is identified according to the "elbow" or "knee" method on the distribution of within-cluster sum of squares (WSS) at each k.

### Value

A vector of cluster labels (in numeric).

### Examples

    # There is no example
    NULL

[Package simplifyEnrichment version 1.4.0 Index]