minor changes

examples/PlotOutliers/ExperimentRcvx.m

@@ -19,7 +19,7 @@
 maxiter=10000;
 tol=1e-7;
 lambda=[0.02, 0.03, 0.04];
-z=[0.1,0.11,0.12,0.13,0.14,0.15,0.16,0.17,0.18,0.19,0.2,0.21,0.22,0.23,0.24,0.25,0.26,0.27,0.28,0.29,0.3,0.31,0.32,0.33,0.34,0.35,0.36,0.37,0.38,0.39,0.4,0.41,0.42,0.43,0.44,0.45,0.46,0.47,0.48,0.49,0.5]
+z=0.1 : 0.01 : 0.5;
 for i=1:length(lambda)
     for j=1:length(z);
         [P_Rcvx{i,j},Q_Rcvx{i,j},fun_Rcvx{i,j},iter(i,j)]=RClust(X,lambda(i),z(j),maxiter,tol,0);
@@ -34,22 +34,22 @@
 end
 
 for i=1:100
-    for j=1:41
-    weight_b(i,j)=weight_Q{5,j}(i,1);
+    for j=1:length(z)
+    weight_b(i,j)=weight_Q{1,j}(i,1);
     end
 end
- x=[0.1,0.11,0.12,0.13,0.14,0.15,0.16,0.17,0.18,0.19,0.2,0.21,0.22,0.23,0.24,0.25,0.26,0.27,0.28,0.29,0.3,0.31,0.32,0.33,0.34,0.35,0.36,0.37,0.38,0.39,0.4,0.41,0.42,0.43,0.44,0.45,0.46,0.47,0.48,0.49,0.5]
+
 for i=1:10
-    plot(x,weight_b(i,:),'r--');
+    plot(z,weight_b(i,:),'r--');
     hold on;
 end
 
 for i=11:100
-    plot(x,weight_b(i,:),'k:');
+    plot(z,weight_b(i,:),'k:');
     hold on;
 end
 set(gca,'Position',[.1 .1 .4 0.8]);
 xlabel('\beta');
 ylabel('feature weight');
-title('\alpha=0.040');
+title('\alpha=0.020');
 set(gca,'FontSize',12);