public void Initialise()
{
// Create a new KML Reader
KMLReader reader = new KMLReader(ROOT_DIR + "data\\L_wk32_drops.kml");
// Read in all call logs
EventCollection collection = reader.GetCallLogs();
collection.ForEach(evt => evt.Device = DEVICE);
// Cluster the call logs
DBSCAN scan = new DBSCAN(collection);
scan.Analyse();
// Initialise the clusters
Clusters = scan.Clusters;
// Initialise the analysis
Analysis = new ProductAnalysis(Clusters, DEVICE);
}
public void Initalise()
{
// Read in a Sample KML File
KMLReader reader = new KMLReader(ROOT_DIR + "data\\L_wk32_drops.kml");
// Obtain all the events
EventCollection collection = reader.GetCallLogs();
// Cluster the Events
DBSCAN scan = new DBSCAN(collection);
scan.Analyse();
// Get a copy of the Clustered Events
Clusters = scan.Clusters;
// Get a copy of the Noise Events
Noise = scan.Noise;
// Make a new TEMP dir
Directory.CreateDirectory(OUTPUT_DIR);
}
public void AnalyseTest()
{
// Setup a new Event Collection
EventCollection collection = new EventCollection();
// Add 4 Clusters
collection.AddRange(GenerateCluster(51.0, 51.1, -21.0, -21.1, 10));
collection.AddRange(GenerateCluster(41.0, 41.1, -11.0, -11.1, 10));
collection.AddRange(GenerateCluster(31.0, 31.1, -1.0, -1.1, 10));
collection.AddRange(GenerateCluster(21.0, 21.1, 1.0, 1.1, 10));
// Cluster the data
DBSCAN scan = new DBSCAN(collection, 5);
scan.Analyse();
// Ensure that there are 4 clusters
Assert.AreEqual(4, scan.Clusters.Count);
// Esnure that there are 10 objects within each cluster
Assert.AreEqual(10, scan.Clusters[0].Count);
Assert.AreEqual(10, scan.Clusters[1].Count);
Assert.AreEqual(10, scan.Clusters[2].Count);
Assert.AreEqual(10, scan.Clusters[3].Count);
}
/// <summary>
/// This method will initalise the clustering algorithm, in order to cluster
/// the data set held within this object.
/// </summary>
/// <param name="eps">The epsilon value</param>
/// <param name="min">The minimum number of coordinates per cluster</param>
public void Cluster(double eps, int min)
{
// Cluster the data
DBscan = new DBSCAN(Events, eps, min);
DBscan.Analyse();
}
public void Initialise()
{
// Create a new KML Reader
KMLReader reader = new KMLReader(ROOT_DIR + "data\\L_wk32_drops.kml");
// Read in all call logs
EventCollection collection = reader.GetCallLogs();
// Cluster the call logs
DBSCAN scan = new DBSCAN(collection);
scan.Analyse();
// Initialise the clusters
Clusters = scan.Clusters;
// Initialise the analysis
Analysis = new WeekAnalysis(Clusters, WEEK);
}
public void Initialise()
{
// Create a new KML Reader
KMLReader reader = new KMLReader(ROOT_DIR + "data\\L_wk32_drops.kml");
// Read in all call logs
EventCollection collection = reader.GetCallLogs();
// Cluster the call logs
DBSCAN scan = new DBSCAN(collection);
scan.Analyse();
// Initialise the cluster
Cluster = new EventCollection(scan.Clusters.OrderBy(col => col.Count).Last());
// Initialise the Cluster analysis
Analysis = new DropAnalysis(Cluster);
}
