medoids | R Documentation |

Computes the medoids of a cluster solution.

medoids(D, cl)

`D` |
square distance matrix (n rows * n columns, i.e. n individuals) or |

`cl` |
vector with the clustering solution (its length should be n) |

Medoids are representative objects of a cluster whose average dissimilarity to all the objects in the cluster is minimal. Medoids are always members of the data set (contrary to means or centroids).

Returns a numeric vector with the indexes of medoids.

Nicolas Robette

Kaufman, L. and Rousseeuw, P.J. (1990). *Finding Groups in Data: An Introduction to Cluster Analysis*. Wiley, New York.

Anja Struyf, Mia Hubert & Peter J. Rousseeuw (1996). "Clustering in an Object-Oriented Environment". *Journal of Statistical Software*.

`dist`

, `cluster`

, `hclust`

, `cutree`

, `pam`

## Performs of classification of the 'Music' example data set, ## a clustering in 3 groups ## and then computes the medoids. data(Music) temp <- dichotom(Music[,1:5]) d <- dist(temp) clus <- cutree(hclust(d),3) medoids(d,clus)

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.