Methods for Clustering Mixed-Type Data

Global functions | |
---|---|

aggregateMeans | Source code |

calcApproxBIC | Source code |

classify.kmeans | Source code |

classifyKamila | Man page Source code |

clust2class | Source code |

cyclicalCoding | Source code Source code |

distFromData2Centroid | Source code |

distPointsToMeans | Source code |

dptm | Source code |

dptmCpp | Man page Source code |

dummyCodeFactorDf | Man page Source code |

dummyCodeOneVar | Source code |

genMixedData | Man page Source code |

getIndividualLogProbs | Source code |

getSubsetCon | Source code |

getSubsetMix | Source code |

gmsClust | Man page Source code |

initMeans | Source code |

jointTabSmoothedList | Source code |

kamila | Man page Source code |

kamila-package | Man page |

kamilaMethod | Source code |

macroPrecRec | Source code |

myCatKern | Source code |

myPurity | Source code |

nclust1x | Source code |

nclustFull | Source code |

prediction.strength | Source code |

psort | Source code |

radialKDE | Source code |

rmBump1 | Source code |

rmBump2 | Source code |

rowMax | Source code |

rowMaxInds | Source code |

rowMin | Source code |

squaredEuc | Source code |

sumMatList | Source code |

withinClusterDist | Source code |

wkmeans | Man page Source code |

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