getConsMtx | R Documentation |

This function calculates an average consensus matrix from a set of clustering solutions. It filters out values below a specified minimum threshold ('consMin') and normalizes the remaining non-zero columns to sum to 1.

```
getConsMtx(dat, consMin, n_cores)
```

`dat` |
An integer matrix where each column represents a different clustering solution (cluster assignments for each data point). |

`consMin` |
The minimum consensus value to retain. Values below this threshold are set to zero. |

`n_cores` |
The number of cores to use for parallel processing. This can speed up the normalization step. |

A processed consensus matrix where each element (i, j) represents the proportion of times data points i and j were assigned to the same cluster with filtering and normalization applied.

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