private void InitializeClusterCentroid(out List <Centeroid <T> > centroid, int count)
{
Centeroid <T> c;
centroid = new List <Centeroid <T> >();
for (int i = 0; i < count; i++)
{
c = new Centeroid <T>();
c.GroupedDocument = new List <DocumentVector <T> >();
centroid.Add(c);
}
}
public List <Centeroid <T> > PrepareDocumentCluster(IList <DocumentVector <T> > documentCollection)
{
globalCounter = 0;
List <Centeroid <T> > centroidCollection = new List <Centeroid <T> >();
Centeroid <T> c;
HashSet <int> uniqRand = new HashSet <int>();
GenerateRandomNumber(ref uniqRand, _clustersCount, documentCollection.Count);
foreach (int pos in uniqRand)
{
c = new Centeroid <T>();
c.GroupedDocument = new List <DocumentVector <T> >();
c.GroupedDocument.Add(documentCollection[pos]);
centroidCollection.Add(c);
}
Boolean stoppingCriteria;
List <Centeroid <T> > resultSet;
List <Centeroid <T> > prevClusterCenter;
InitializeClusterCentroid(out resultSet, centroidCollection.Count);
do
{
prevClusterCenter = centroidCollection;
foreach (DocumentVector <T> obj in documentCollection)
{
int index = FindClosestClusterCenter(centroidCollection, obj);
resultSet[index].GroupedDocument.Add(obj);
}
InitializeClusterCentroid(out centroidCollection, centroidCollection.Count());
centroidCollection = CalculateMeanPoints(resultSet);
stoppingCriteria = CheckStoppingCriteria(prevClusterCenter, centroidCollection);
if (!stoppingCriteria)
{
//initialize the result set for next iteration
InitializeClusterCentroid(out resultSet, centroidCollection.Count);
}
} while (stoppingCriteria == false);
_counter = counter;
return(resultSet);
}
public List <Centeroid <T> > PrepareDocumentCluster(IList <DocumentVector <T> > documentCollection)
{
var centroidCollection = new List <Centeroid <T> >();
var uniqRand = new HashSet <int>();
GenerateRandomNumber(ref uniqRand, _clustersCount);
foreach (int pos in uniqRand)
{
var c = new Centeroid <T>();
c.GroupedDocument.Add(documentCollection[pos]);
centroidCollection.Add(c);
}
InitializeClusterCentroid(out List <Centeroid <T> > resultSet, centroidCollection.Count);
foreach (DocumentVector <T> obj in documentCollection)
{
int index = FindClosestClusterCenter(centroidCollection, obj);
resultSet[index].GroupedDocument.Add(obj);
}
return(resultSet);
}
