Fast Clustering Using Adaptive Density Peak Detection

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... |

defCol | Default colors |

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

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 |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.