Merge branch 'master' of https://github.com/iqiukp/FaultDetection-SVDD-ddtools

Author: iqiukp

README.md

@@ -1,10 +1,17 @@
 ## Fault detection based on support vector data description (SVDD)
 
----------------------------------------------------------
+-------------------------------------------------------------------
+Updated on 28 May 2019	
+1. Added descriptions for the calculation of the radius 
+2. Added descriptions for the calculation of the distance 
+   from the testing sample to the center of the sphere
+------------------------------------------------------------------- 
+
+-------------------------------------------------------------------
 Updated on 24 May 2019	
 1. Fixed some function descriptions 
 2. Added support for some common kernel functions
----------------------------------------------------------  
+-------------------------------------------------------------------
 
 ## demo
 ```
@@ -27,7 +34,8 @@ load ('.\data\Y.mat')
 
 % Set parameters 
 C = 0.2;   % trade-off parameter
-ker = struct('type','gauss','width',6);
+s = 6;     % kernel width
+ker = struct('type','gauss','width',s);
 
 % Train SVDD hypersphere
 model = svdd_train(X_s,C,ker);
@@ -36,7 +44,7 @@ model = svdd_train(X_s,C,ker);
 d = svdd_test(model,Y_s);
 
 % Plot the results
-plotResult(model.threshold,d)
+plotResult(model.R,d)
 
 ```