matlab - Measure how spread out the data in an array is -

I have zero and one array and I have to know whether the data is spread in columns or centered in clumps. For example:

If I have the array x and have these values:

Column 1 value: 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1

Column 2 Value: 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1

If we calculate the number of people, then we know that this is the same number, but they have spread more well and the columns in column 1 Are distributed in comparison to 1.

I am trying to score a score which gives me a higher value if the spread is good and the low price is spreading bad ... any thoughts ??

Sample of data:

  1 0 0 0 0 -2 -3 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -3 -3 1 0 1 2 3 0 5 0 2 13 4 5 1 1 0 0 -4 34 0 0 1    
 
 
 I think what you are trying to measure is the variance of di  1  s, ie:  
  f   
 Data for you:      
 Pre>  a = [0 0 0 0 0 0 0 0 0 0 1] F (A) = 8.0498 F (B) = 2.0736   
 But I still believe that you measure the system's disorder Essentially, I am trying to think of Enerpy measures, but I do not know how  
 note that this is a  low  value if " Proliferation "is good and high value if it is bad (i.e. contrary to your request)  
 In addition, if you want it per column, then it becomes a bit more complex:  
 f = @ (x) array = (y) std (diff (find (X (:, y))), 1: size (x, 2)) data = [a ', b'] ; F (Data)   
  Warning:  This method does not consider too much trailing and major  0  s I do not know Whether or not a problem is basically  f ([0; 0; 0; 0])  returns  0  where the form In  f ([0; 0; 0; 0; 0]) gives a positive signal (false) that the first case is more distributed. It is possible to add and add a line to the matrix ...