public IEnumerable<Marker> GetAllClusteredBloods()
{
var result = new DataProvider()
.GetAntiSocialDataV1()
.Select(a =>
new Marker
{
lng = a.Location.Longitude,
lat = a.Location.Latitude,
r = 1 * 100
})
.ToList();
var rawData = result.Select(r => new double[] { r.lng, r.lat }).ToArray();
var clusters = Clustring.KMean(rawData, 5, 30);
var clustersGrouped = clusters.GroupBy(a => a);
var itemsInClusters = new List<Marker>();
var index = 0;
foreach (var item in clusters)
{
var newResult = Clustring.DataPointsPerCluster(rawData, index, clusters, 50).ToList();
foreach (var r in newResult)
{
itemsInClusters.Add(new Marker { lat = r.Item2, lng = r.Item1, r = 100 });
}
index++;
}
return itemsInClusters;
}
public static IEnumerable<Marker> GetClusterMakers(int clusterNumber)
{
var result = new DataProvider()
.GetAntiSocialDataV1()
.Select(a =>
new Marker
{
lng = a.Location.Longitude,
lat = a.Location.Latitude,
r = 1 * 100
})
.ToList();
var rawData = result.Select(r => new double[] { r.lng, r.lat }).ToArray();
var clusters = Clustring.KMean(rawData, 5, 1000);
var clustersGrouped = clusters.GroupBy(a => a);
var itemsInClusters = new List<Marker>();
return Clustring.DataPointsPerCluster(rawData, clusterNumber, clusters, 1000)
.Select(r => new Marker { lat = r.Item2, lng = r.Item1, r = 100 }).ToList();
}
