Align Input-Data for Machine Learning

Here is a simplified example of my problem:

I have a (9x5) array

fn=[62,98,122,123,63;90,124,328,487,91;552,553,501,743,138;758,826,739,1323,850;1279,1328,1334,1505,1274;1312,1512,1579,1635,1312;1519,1617,1696,1751,1518;1899,1889,1822,1818,1902;1917,1974,1966,1974,1907]

and I want to align the elements in each row, so that I can use it as an Input Matrix for Machine Learning. The values in each column should correlate to a category of desired values (CategoryValues) with a specific bandwidth.

CategoryValues =[60,90,250,500,900,1300,1500,1700,2000];
bandwidth=100;

      for ii=1:length(CategoryValues)

      minVal(ii)=(CategoryValues(ii)-bandwidth);
      maxVal(ii)=(CategoryValues(ii)+ bandwidth);

      end

I tried to implement a Code, and it works only beyond row1 and row2 well:

for pp=1:5

      clear f1_aligned

      f1_aligned=zeros(length(fn),1);

      f1=fn(:,pp)

      for kk=1:9

          if any(and((f1 >=minVal(kk) ), (f1 <=maxVal(kk))))

              indices = find(and((f1 >=minVal(kk) ), (f1 <=maxVal(kk))));
              [blbl, idx_rel]=min(abs(f1(indices)-ImportantModes(kk)));
              idx_rel = indices(idx_rel);
          f1_aligned(kk)=f1(idx_rel);

          end

      end

      Aligned_fn_Matrix(:,pp)=f1_aligned;

end

The Problem is: when I have two values for example 98 and 124, then value 98 should be in the first row for category 60 and value 124 should be in the Second row for category 90. Where do I overlook the mistake in my code?

Thanks in advance David