/// <summary>
/// Primary Constructor
/// </summary>
/// <param name="cluster">An EventCollection representing a cluster</param>
/// <param name="clusterid">The ID of the cluster</param>
public ClusterAnalysis(EventCollection cluster, int clusterid)
{
Cluster = cluster;
ClusterID = clusterid;
DropAnalysis = new DropAnalysis(Cluster);
FailAnalysis = new FailAnalysis(Cluster);
}
/// <summary>
/// Primary Constructor
/// </summary>
/// <param name="cluster">An EventCollection representing a cluster</param>
/// <param name="clusterid">The ID of the cluster</param>
public ClusterAnalysis(EventCollection cluster, int clusterid)
{
Cluster = cluster;
ClusterID = clusterid;
DropAnalysis = new DropAnalysis(Cluster);
FailAnalysis = new FailAnalysis(Cluster);
}
/// <summary>
/// This method will produce a JSON object that contains all the data from
/// the current instance. Only focusing upon drop events, this method will
/// firstly group the events by the start RAT only, and then by the start
/// and end RAT values.
/// </summary>
/// <returns>A well formed JSON string</returns>
public String CreateDropRATJSON()
{
// Create a new JSONResults Data Structure
JSONResults json = new JSONResults(WeekNumber);
// Loop over all clusters in this week
foreach (KeyValuePair <int, ClusterAnalysis> pair in ClustersAnalysis)
{
// Get the Drop Analysis object
DropAnalysis analysis = pair.Value.DropAnalysis;
// Used to stores the split up events
List <String> keys = analysis.GroupByStartRat().Keys.ToList();
AnalysisResultsCollection groups = new AnalysisResultsCollection(keys);
// Get the Analysis result
AnalysisResults results = analysis.GroupByStartEndRat();
// Loop over each result
foreach (KeyValuePair <String, EventCollection> p in results)
{
// Calculate the Key
String key = p.Value[0].StartRat;
// Add into the array
groups[key].Add(p.Key, p.Value);
}
// Add the RAT goup to the JSONResults Data Structure
json.Add(pair.Key, groups);
}
// return the JSON data structure for this week
return(json.ToString());
}
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);
}
