private Dictionary <int, int> byKmeansDCA()
{
K_means_DCA k_mean_DCA = new K_means_DCA();
k_mean_DCA.addSetting(k, maxLoop, x, epsilon, sigma, T, M);
k_mean_DCA.run();
v_Last = k_mean_DCA.getV();
return(k_mean_DCA.get_Clustered_Data());
}
private Dictionary <int, int> byKmeansDCA(double[][] v)
{
K_means_DCA k_mean_DCA = new K_means_DCA();
//k_mean.addSetting(k, maxLoop, Normalized(x), epsilon, sigma, T, M);
k_mean_DCA.addSetting(k, maxLoop, x, epsilon, sigma, T, M);
k_mean_DCA.run(v);
v_Last = k_mean_DCA.getV();
return(k_mean_DCA.get_Clustered_Data());
}
private Dictionary<int, int> byKmeansDCA(double[][] v)
{
K_means_DCA k_mean_DCA = new K_means_DCA();
//k_mean.addSetting(k, maxLoop, Normalized(x), epsilon, sigma, T, M);
k_mean_DCA.addSetting(k, maxLoop, x, epsilon, sigma, T, M);
k_mean_DCA.run(v);
v_Last = k_mean_DCA.getV();
return k_mean_DCA.get_Clustered_Data();
}
private Dictionary<int, int> byKmeansDCA()
{
K_means_DCA k_mean_DCA = new K_means_DCA();
k_mean_DCA.addSetting(k, maxLoop, x, epsilon, sigma, T, M);
k_mean_DCA.run();
v_Last = k_mean_DCA.getV();
return k_mean_DCA.get_Clustered_Data();
}
