public Parameter EstimateParameter()
{
Parameter p = new Parameter();
ClusterGen generator = new ClusterGen(this);
if (!generator.partitionTrajectory())
{
Console.WriteLine("Unable to partition a trajectory\n");
return(null);
}
if (!generator.estimateParameterValue(ref p))
{
Console.WriteLine("Unable to calculate the entropy\n");
return(null);
}
return(p);
}
public bool ClusterGenerate(double epsParam, int minLnsParam,
double minSegmentLength = 50.0, int MDLCostAdwantage = 25)
{
m_parameter.epsParam = epsParam;
m_parameter.minLnsParam = minLnsParam;
m_parameter.minSegmentLength = minSegmentLength;
m_parameter.MDLCostAdwantage = MDLCostAdwantage;
ClusterGen generator = new ClusterGen(this);
if (m_trajectoryList.Count == 0)
{
Console.WriteLine("Load a trajectory data set first");
}
// FIRST STEP: Trajectory Partitioning
if (!generator.partitionTrajectory())
{
Console.WriteLine("Unable to partition a trajectory\n");
return(false);
}
// SECOND STEP: Density-based Clustering
if (!generator.performDBSCAN())
{
Console.WriteLine("Unable to perform the DBSCAN algorithm\n");
return(false);
}
// THIRD STEP: Cluster Construction
if (!generator.constructCluster())
{
Console.WriteLine("Unable to construct a cluster\n");
return(false);
}
return(true);
}