odmeans {ODMeans}

ODMeans Function

Description

ODMeans Function

Usage

odmeans(
  data,
  numKGlobal,
  limitSeparationGlobal,
  maxDistGlobal,
  distHierarchical,
  numKLocal,
  limitSeparationLocal,
  maxDistLocal,
  kmeans_pp = FALSE
)

Arguments

data

A data frame with four columns:
Initial Latitude | Initial Longitude | Final Latitude | Final Longitude

numKGlobal

Initial number of clusters in the first call of k-means in the global hierarchy.

limitSeparationGlobal

Within cluster distance threshold to determine if a global cluster must be separated into two new clusters.

maxDistGlobal

Meter distance threshold used to re-estimate centroids in global 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.

kmeans_pp

Boolean value, if TRUE it initialize centroids using kmeans++.

Value

Returns an S3 class object similar to kmeans S3 Class, with eight properties.

Examples

data(ODMeansTaxiData)
odmeans_data = odmeans(ODMeansTaxiData, 10, 300, 1000, 2200, 3, 50, 100)