public DBSCAN(double eps, int minPts, MatrixSimilitud matrixSimilitud)
{
Eps = eps;
MinPts = minPts;
ClusterID = 1;
_laMatrixDeSimilitud = matrixSimilitud;
}
public Clustering(List<Documento> lstDocumentos, MatrixSimilitud miMatrix, double eps, int minPts)
{
if (lstDocumentos == null) return;
LstDocumentos = new List<Documento>(lstDocumentos);
foreach (var doc in lstDocumentos)
doc.ClusterID = 0;
_laMatrixDeSimilitud = miMatrix;
_eps = eps;
_minPts = minPts;
}
private static void Main(string[] args)
{
StreamReader stream = null;
try
{
var inicio = DateTime.Now;
_lstDocumentos = new List<Documento>();
stream = new StreamReader(new FileStream(args[0], FileMode.Open, FileAccess.Read));
var id = 0;
while (!stream.EndOfStream)
{
var linea = stream.ReadLine();
if (linea.Contains("@") || linea.Contains("%") || String.IsNullOrEmpty(linea))
continue;
var dim = new List<double>();
foreach (var s in linea.Substring(0, linea.Length - 2).Split(','))
{
dim.Add(Convert.ToDouble(s, new CultureInfo("en-US")));
}
_lstDocumentos.Add(new Documento {Terminos = dim.ToArray(), PosicionEnLista = id});
id++;
}
var miMatrizDeSimilitudes = new MatrixSimilitud(_lstDocumentos);
//for (var k = 2; k < 15; k++)
//{
new Clustering(_lstDocumentos, miMatrizDeSimilitudes, 0, 0).Ejecutar(Convert.ToInt32(Math.Ceiling(Math.Sqrt(_lstDocumentos.Count))));
Console.WriteLine();
//}
var fin = DateTime.Now;
var tiempo = new TimeSpan(fin.Ticks - inicio.Ticks);
Console.WriteLine(tiempo.TotalMilliseconds);
}
finally
{
Console.ReadKey();
if (stream != null)
{
stream.Close();
}
}
}
