Description Usage Arguments Value Author(s) References Examples

Calculates the CPCC derivative for the given input. Should not be used by the user.

1 | ```
cpcc_derivative(x, var_list)
``` |

`x` |
The weight vector of length |

`var_list` |
A list of variables containing the following: data, the relevant data. method, the clustering method. bounds, the bounds on the weights. MMM, Minimal memory mode: see |

`CPCC derivative` |
The CPCC derivative of this clustering with the given weights. A vector of length |

Jeroen van den Hoven

Clustering with optimised weights for Gower's metric: Using hierarchical clustering and Quasi-Newton methods to maximise the cophenetic correlation coefficient, Jeroen van den Hoven.

1 2 3 4 |

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