// This function will get triggered/executed when a new message is written
// on an Azure Queue called queue.
public static void StartClusterAnalysis([QueueTrigger("clusterqueue")] int clusterCalculationId, TextWriter log)
{
Task.Factory.StartNew(() =>
{
using (var context = new SvdEntities())
{
ClusterOptimizer.OptimizeRange(context, clusterCalculationId);
}
});
}
public JsonResult GetClusters(int jobId, int k = 2)
{
var nameList = new Dictionary <string, List <string> >();
var start = DateTime.Now;
var cluster = ClusterOptimizer.OptimizeRange(_context, new ClusterCalculationParameters()
{
MinimumClusterCount = 20,
MaximumClusterCount = 20,
IterationsPerCluster = 1,
MaximumOptimizationsCount = 200,
JobId = jobId
});
Debug.WriteLine($"Total Optimization Time: {DateTime.Now.Subtract(start).TotalMilliseconds} Milliseconds");
for (var i = 0; i < cluster.ClusterMap.Count; i++)
{
var fileName = LSA.MatrixContainer.DocNameMap[i];
if (!nameList.ContainsKey(cluster.ClusterMap[i].ToString()))
{
nameList[cluster.ClusterMap[i].ToString()] = new List <string>();
}
nameList[cluster.ClusterMap[i].ToString()].Add(fileName);
}
return(Json(new {
GlobalSI = cluster.GlobalSi,
ClusterSIAverage = cluster.GlobalClusterSiAverage,
ClusterSiList = cluster.ClusterSiAverages,
NameList = nameList,
NumClusters = cluster.Clusters
}, JsonRequestBehavior.AllowGet));
}
public IList <Cluster> SearchClusters(double radius, IList <Dot> dots)
{
int i = 0;
double range = int.MaxValue;//radius * radius;
Dot[] copy = new Dot[dots.Count];
dots.CopyTo(copy, 0);
var dotsToCluster = copy.ToList();
List <Cluster> clusters = new List <Cluster>(dots.Count);
Dot middlePoint = default;
while (dotsToCluster.Count > 0)
{
middlePoint = dotsToCluster.OrderBy(d => d.GetDistance(middlePoint)).First();
var dotsInRange = dotsToCluster
.Where(d => d.GetDistance(middlePoint) <= range)
.OrderBy(d => d.GetDistance(middlePoint))
.ToList();
List <Dot> dotsInCluster = new List <Dot>(dotsInRange.Count());
if (dotsInRange.Any())
{
foreach (var inRangeDot in dotsInRange)
{
if (dotsInCluster.Count > 0)
{
middlePoint = default;
foreach (var dot in dotsInCluster)
{
middlePoint += dot;
}
middlePoint /= dotsInCluster.Count;
}
Dot displaced = (middlePoint + inRangeDot) / 2;
dotsInCluster.Add(inRangeDot);
if (dotsInCluster.Any(d => d.GetDistance(displaced) >= radius))
{
dotsInCluster.Remove(inRangeDot);
break;
}
else
{
middlePoint = displaced;
}
}
}
clusters.Add(new Cluster()
{
Dots = ColoredDots(dotsInCluster, i),
Number = i,
Radius = radius,
RadiusDot = middlePoint
});
dotsToCluster = dotsToCluster.Except(dotsInCluster).ToList();
i += 1;
}
clusters = ClusterOptimizer.RemoveSharedClusters(clusters);
return(clusters);
}
