How to scan matrix by row after using csvRead in Scilab?

Question

data=csvRead("C:\Users\USER\Desktop\Iris.csv",",","%f");

Is the code I used in Scilab to read the file which contains this:

5.1,3.5,1.4,0.2,Iris-setosa

4.9,3.0,1.4,0.2,Iris-setosa

4.7,3.2,1.3,0.2,Iris-setosa

4.6,3.1,1.5,0.2,Iris-setosa

5.0,3.6,1.4,0.2,Iris-setosa

7.0,3.2,4.7,1.4,Iris-versicolor

and so on...

now what I want to do is to manipulate the data by row and apply it to a clustering algorithm. For example I want to use each of the values in row one to calculate their euclidian distance between the centroids.

How would I know the index of each value and how do use it in computations?

I want to manipulate the data just like this code in Java.

for(i=0; i < popnSize; i++){  
        for(j=0; j < dim; j++){
            System.out.println("["+i+"]" + arrpop[i][j]+"\t"); 
        } 

How would you translate that in Scilab after reading the matrix using csvRead?

Answer 1

After

--> data=csvRead("C:\Users\USER\Desktop\Iris.csv",",","%f");

computing the distance to the centroid can be done by centering the data matrix in the row direction then computing the norm of each row:

--> dist = sqrt(sum(center(data(:,1:4),1).^2,2))
 dist  = 

   0.6407461
   0.7168604
   0.8566732
   0.8065702
   0.7074995
   3.4274221