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(); }