public BasicSequentialAlgorithmicScheme(BsasArgs args)
{
this.thetavalues = args.Thetavalues;
this.s = args.S;
this.data = args.Data;
this.thetaStepNum = args.ThetaStepNum;
}
public BasicSequentialAlgorithmicScheme(BsasArgs args)
{
this.thetavalues = args.Thetavalues;
this.s = args.S;
this.data = args.Data;
this.thetaStepNum = args.ThetaStepNum;
}
public int[] Classify()
{
var clusterData = features.Select();
var theta = MinMaxTheta(clusterData);
var args = new BsasArgs(theta, m_iterations, clusterData, m_thetaStepNum);
var bsas = new BasicSequentialAlgorithmicScheme(args);
var clusters = bsas.CalculateClasses();
var kmeans = new KMeans(clusters, Distance.Euclidean);
var idx = kmeans.Compute(clusterData);
return(idx);
}
public int[] Classify()
{
var clusterData = features.Select();
var theta = MinMaxTheta(clusterData);
var args = new BsasArgs(theta, m_iterations, clusterData, m_thetaStepNum);
var bsas = new BasicSequentialAlgorithmicScheme(args);
var clusters = bsas.CalculateClasses();
var kmeans = new KMeans(clusters, Distance.Euclidean);
var idx = kmeans.Compute(clusterData);
return idx;
}