second_hierarchy {ODMeans} | R Documentation |
Second Hierarchy Clusters
Description
Second Hierarchy Clusters
Usage
second_hierarchy(
data,
Kcluster,
distHierarchical,
numKLocal,
limitSeparationLocal,
maxDistLocal
)
Arguments
data |
A data frame with four columns: |
Kcluster |
An ODMeans structure, result of function first_hierarchy. |
distHierarchical |
Meter distance threshold between origin and destination to generate new local clusters from a first layer cluster. |
numKLocal |
Initial number of clusters in the first call of k-means in the local hierarchy. |
limitSeparationLocal |
Within cluster distance threshold to determine if a local cluster must be separated into two new clusters. |
maxDistLocal |
Meter distance threshold used to re-estimate centroids in local hierarchy. |
Value
Returns an S3 class object similar to kmeans S3 Class, with eight properties.
Examples
data(ODMeansTaxiData)
first_hierarchy_data = first_hierarchy(ODMeansTaxiData, 10, 500, 1000)
second_hierarchy_data = second_hierarchy(ODMeansTaxiData, first_hierarchy_data, 2200, 3, 50, 100)
[Package ODMeans version 0.2.1 Index]