`dist.func`

returns a sum total of all distances for each row of the matrix from the centroid.

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`mndata` |
matrix dataset with numeric columns. |

`standardize` |
is a booleon variable to denote whether columns should first be scaled to 0-1. |

`method` |
dictates how distance is computed. Currently, only "euclidean" is implemented. |

`centroid` |
allows user to specify the centroid values for each column. Otherwise, the mean of each column is taken by default. |

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