adpclust |
Fast Clustering Using Adaptive Density Peak Detection |

AMISE |
AMISE bandwidth |

clust10 |
1000 5-dimensional data points that form ten clusters |

clust3 |
90 2-dimensional data points that form three clusters |

clust5 |
500 5-dimensional data points that form five clusters |

clust5.1 |
500 5-dimensional data points that form five clusters |

dat_gene |
243-dimensional gene expression data of 38 patients (243 genes) |

defCol |
Default colors |

FindCentersAutoD |
Automatically finds centers with diagonal f(x) vs delta(x) thresholds |

FindCentersAutoV |
Automatically find centers with vertical threshold |

FindClustersAuto |
Automatically find cluster assignment given f and delta. |

FindClustersGivenCenters |
Find cluster assignments given centers and distance matrix |

FindClustersManual |
User-interactive routine to find clusters |

FindDistm |
Find the distance matrix from data. |

FindFD |
Find f and delta from distance matrix. |

FindH |
Find bandwidth h. |

plot.adpclust |
Visualize the result of adpclust() |

ROT |
Calculate ROT bandwidth |

summary.adpclust |
Summary of adpclust |