Description Usage Arguments Details

A wrapper for clustering a time-series object `tset`

provided by
`processTimeseries`

,
where specifically the DFT of a time-series and requested data
transformation were calculated. The clustering is performed
on the `tset$dat`

matrix by `kmeans`

or
model-based by packages flowClust & flowMerge.

1 2 3 4 |

`tset` |
a timeseries processed by |

`K` |
selected cluster numbers, the argument |

`method` |
string specifying the clustering algorithm to use |

`selected` |
a pre-selected cluster number which is then
used as a start clustering for |

`parameters` |
named vector of parameters for clustering algorithms, currently ALL required parameters MUST be specified |

`nui.thresh` |
threshold correlation of a data point to a cluster center; if below the data point will be added to nuissance cluster 0 |

`verb` |
level of verbosity, 0: no output, 1: progress messages |

`...` |
further parameters to |

This function attempts to combine the previous separate clustering
wrappers from package `segmenTier`

, `flowclusterTimeseries`

and k-mean's based `clusterTimeseries`

, the latter of which is used for
the segmenTier algorithm. Please see the corresponding help files for
details on the clustering parameters in argument `parameters`

.

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