# PAM from k-solution of hierarchical clustering

### Description

Runs a pam clustering (`pam`

) from the solution in k groups of a hierarchical clustering (`agnes`

) .

### Usage

1 |

### Arguments

`dist` |
A distance matrix or object. |

`k` |
Number of clusters. |

`method` |
Method for the hierarchical clustering (see |

### Details

The function first runs the hierarchical clustering, retrieves the medoids of the solution for the provided `k`

and uses those medoids as start centers for the `pam`

partitioning.

### Value

An object of class `"pam"`

. See `pam.object`

for details.

### Author(s)

Gilbert Ritschard

### See Also

`agnes`

and `pam`

.

### Examples

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