TRAC | R Documentation |

Create an Markov model from a regular clustering (k-means or PAM) of sequence data.

```
TRAC(x, data = NULL, centers = NULL, measure = "euclidean")
```

`x` |
a clustering object (result of kmeans or PAM), a data set (a data matrix), or a vector with (integer) cluster assignments. |

`data` |
the data used for clustering (only used if |

`centers` |
if |

`measure` |
used distance measure. |

The order is inferred from the order in the original data set.

A `EMM`

object representing the clustering of sequence data.

```
data("EMMsim")
## using kmeans
cl <- kmeans(EMMsim_train, 10)
emm <- TRAC(cl)
emm
plot(emm, method = "MDS")
## using a cluster assignment vector (taken from the k-means clustering above)
x <- cl$cluster
emm <- TRAC(x, data = EMMsim_train)
emm
plot(emm, method = "MDS")
```

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