Learning Hierarchical Clustering Algorithms

agglomerativeHC | To execute agglomerative hierarchical clusterization... |

agglomerativeHC.details | To explain agglomerative hierarchical clusterization... |

canberradistance | To calculate the Canberra distance. |

canberradistance.details | To show the formula and to return the Canberra distance. |

canberradistanceW | To calculate the Canberra distance applying weights. |

canberradistanceW.details | To calculate the Canberra distance applying weights . |

chebyshevDistance | To calculate the Chebyshev distance. |

chebyshevDistance.details | To show the formula of the Chebyshev distance. |

chebyshevDistanceW | To calculate the Chebyshev distance applying weights. |

chebyshevDistanceW.details | To calculate the Chebyshev distance applying weights. |

clusterDistance | To calculate the distance between clusters. |

clusterDistanceByApproach | To calculate the distance by approach option. |

clusterDistanceByApproach.details | To explain how to calculate the distance by approach option. |

clusterDistance.details | To explain how to calculate the distance between clusters. |

complementaryClusters | To check if two clusters are complementary |

complementaryClusters.details | To explain how and why two clusters are complementary. |

correlationHC | To execute hierarchical correlation algorithm. |

correlationHC.details | To explain how hierarchical correlation algorithm works. |

distances | To calculate distances applying weights. |

distances.details | To calculate distances applying weights. |

divisiveHC | To execute divisive hierarchical clusterization algorithm by... |

divisiveHC.details | To explain the divisive hierarchical clusterization algorithm... |

edistance | To calculate the Euclidean distance. |

edistance.details | To show the Euclidean distance formula. |

edistanceW | To calculate the Euclidean distance applying weights. |

edistanceW.details | To calculate the Euclidean distance applying weights. |

getCluster | To get the clusters with minimal distance. |

getCluster.details | To explain how to get the clusters with minimal distance. |

getClusterDivisive | To get the clusters with maximal distance. |

getClusterDivisive.details | To explain how to get the clusters with maximal distance. |

initClusters | To initialize clusters for the divisive algorithm. |

initClusters.details | To explain how to initialize clusters for the divisive... |

initData | To initialize data, hierarchical correlation algorithm. |

initData.details | To initialize data, hierarchical correlation algorithm. |

initImages | To display an image. |

initTarget | To initialize target, hierarchical correlation algorithm. |

initTarget.details | To initialize target, hierarchical correlation algorithm. |

matrixDistance | Matrix distance by distance type |

maxDistance | Maximal distance |

maxDistance.details | Maximal distance |

mdAgglomerative | Matrix distance by distance and approach type. |

mdAgglomerative.details | Matrix distance by distance and approach type. |

mdDivisive | Matrix distance by distance and approach type. |

mdDivisive.details | Matrix distance by distance and approach type. |

mdistance | To calculate the Manhattan distance. |

mdistance.details | To explain how to calculate the Manhattan distance. |

mdistanceW | To calculate the Manhattan distance applying weights. |

mdistanceW.details | To calculate the Manhattan distance applying weights. |

minDistance | Minimal distance |

minDistance.details | Minimal distance |

newCluster | To create a new cluster. |

newCluster.details | To explain how to create a new cluster. |

normalizeWeight | To normalize weight values. |

normalizeWeight.details | To normalize weight values. |

octileDistance | To calculate the Octile distance. |

octileDistance.details | To explain how to calculate the Octile distance. |

octileDistanceW | To calculate the Octile distance applying weights. |

octileDistanceW.details | To calculate the Octile distance applying weights. |

toList | To transform data into list |

toList.details | To explain how to transform data into list |

toListDivisive | To transform data into list |

toListDivisive.details | To explain how to transform data into list |

usefulClusters | To delete clusters grouped. |

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