ParaMonte Fortran 2.0.0
Parallel Monte Carlo and Machine Learning Library
See the latest version documentation. |

pm_clustering.F90 File Reference

Go to the source code of this file.

## Data Types | |

interface | pm_clustering::setMember |

Compute and return the memberships and minimum distances of a set of input points with respect to the an input set of cluster centers. More... | |

interface | pm_clustering::setCenter |

Compute and return the centers of the clusters corresponding to the input `sample` , cluster `membership` IDs, and `sample` distances-squared from their corresponding cluster centers.More... | |

interface | pm_clustering::setKmeansPP |

Compute and return an asymptotically optimal set of cluster centers for the input `sample` , cluster `membership` IDs, and `sample` distances-squared from their corresponding cluster centers.More... | |

interface | pm_clustering::setKmeans |

Compute and return an iteratively-refined set of cluster centers given the input `sample` using the k-means approach.More... | |

## Modules | |

module | pm_clustering |

This module contains procedures and routines for the computing the Kmeans clustering of a given set of data. | |

## Variables | |

character(*, SK), parameter | pm_clustering::MODULE_NAME = "@pm_clustering" |