refined doc of ch01

chapter01/condEntropy.m

@@ -1,7 +1,7 @@
 function z = condEntropy (x, y)
 % Compute conditional entropy z=H(x|y) of two discrete variables x and y.
 % Input:
-%   x, y: two vectors of integers of the same length
+%   x, y: two integer vector of the same length 
 % Output:
 %   z: conditional entropy z=H(x|y)
 % Written by Mo Chen ([email protected]).

chapter01/jointEntropy.m

@@ -1,7 +1,7 @@
 function z = jointEntropy(x, y)
 % Compute joint entropy z=H(x,y) of two discrete variables x and y.
 % Input:
-%   x, y: two vectors of integers of the same length
+%   x, y: two integer vector of the same length 
 % Output:
 %   z: joint entroy z=H(x,y)
 % Written by Mo Chen ([email protected]).    

chapter01/mutInfo.m

@@ -1,7 +1,7 @@
 function z = mutInfo(x, y)
 % Compute mutual information I(x,y) of two discrete variables x and y.
 % Input:
-%   x, y: two vectors of integers of the same length
+%   x, y: two integer vector of the same length 
 % Output:
 %   z: mutual information z=I(x,y)
 % Written by Mo Chen ([email protected]).

chapter01/nmi.m

@@ -1,7 +1,7 @@
 function z = nmi(x, y)
 % Compute normalized mutual information I(x,y)/sqrt(H(x)*H(y)) of two discrete variables x and y.
 % Input:
-%   x, y: two vectors of integers of the same length
+%   x, y: two integer vector of the same length 
 % Ouput:
 %   z: normalized mutual information z=I(x,y)/sqrt(H(x)*H(y))
 % Written by Mo Chen ([email protected]).

chapter01/nvi.m

@@ -1,7 +1,7 @@
 function z = nvi(x, y)
 % Compute normalized variation information z=(1-I(x,y)/H(x,y)) of two discrete variables x and y.
 % Input:
-%   x, y: two vectors of integers of the same length
+%   x, y: two integer vector of the same length 
 % Output:
 %   z: normalized variation information z=(1-I(x,y)/H(x,y))
 % Written by Mo Chen ([email protected]).

chapter01/relatEntropy.m

@@ -1,7 +1,7 @@
 function z = relatEntropy (x, y)
 % Compute relative entropy (a.k.a KL divergence) z=KL(p(x)||p(y)) of two discrete variables x and y.
 % Input:
-%   x, y: two vectors of integers of the same length
+%   x, y: two integer vector of the same length 
 % Output:
 %   z: relative entropy (a.k.a KL divergence) z=KL(p(x)||p(y))
 % Written by Mo Chen ([email protected]).    

chapter02/logDirichlet.m

@@ -1,5 +1,6 @@
 function y = logDirichlet(X, a)
 % Compute log pdf of a Dirichlet distribution.
+% Input:
 %   X: d x n data matrix satifying (sum(X,1)==ones(1,n) && X>=0)
 %   a: d x k parameters
 %   y: k x n probability density