Description Usage Arguments Value Note

This function calculates thresholds by using k-Means clustering. The number of clusters is automatically derived by the Schwarz Bayesian criterion

1 2 | ```
kMeansThresholding(df, n.clust = NULL, G = 25, size.data = NULL,
size.sample = 5000, seed = 123, iter.max = 5000)
``` |

`df` |
input data frame |

`n.clust` |
number of initial cluster (Default: NULL) |

`G` |
see |

`size.data` |
percentage of input data used in anaylsis. Default: NULL |

`size.sample` |
sample in initialization of |

`seed` |
set seed. Default: 123 |

`iter.max` |
number of iterlations in |

vector containing the cluster centers

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