User-interactive routine to find clusters

A wrapper of the dist() method, with the option to rescale the data with standard deviation of each dimension before calculating the distance matrix. NOTE: If fdelta='mnorm' is passed to adpclust(), then the distm is calculated from rescaled data internally, i.e. distm <- FindDistm(x, normalize = TRUE).

1 |

`x` |
data |

`normalize` |
boolean. Normalize data before calculating distance? |

`method` |
passed to 'dist()' |

distance matrix of class dist.

Ethan Xu

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