Description Arguments Value Examples

clusters data into two clusters with a majorization k-means This functionis use a hybrid of the k-means and the majorizaion-minimazation method to cluster the data and exports the clustering results as well as the sum of square (SS) of clustering

`x` |
matrix of data (dim 1: samples (must be equal to dim 1 of X), dim 2: attributes (must be equal to dim 2 of X)) |

`k` |
number of clusters ( this version considers 2 clusters ) |

`La` |
the tunnung parameter |

sum of square (SS) of clustring and the 'delta' (difference of two successive majorization function).

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