retrieving data and plotting it

    I have 100*10 rows and column of data

    col1  col2    A     A    A    B   B   B    C    C 
    1      2    0.2    .3    .2  .1  .2  .69  .87   .8
    2      3    0.2    0.8   .7  .5  .6  .9   .5   .8
    2      4    0.2    .3    .2  .1  .2  .69  .87   .8
    5      8    0.2    0.8   .7  .5  .6  .9   .5   .8  

    from this data i have found the highest   accuracy for the for unique values in col1 and have plotted
    the res for ex is

    col1   clo2  acc
    1      2    94
    2      4    95 

    now for this data i have to find corresponging  values from first data such as 
      col1   clo2  acc       A     A   A   B   B   B    C     C 
      1      2    94        0.2   .3  .2  .1  .2  .69  .87   .8
      2      4    95        0.2   .3  .2  .1  .2  .69  .87   .8

    FROM THIS DATA I WANT TO PLOT K MEANS,is it possible

Answer 1

[Andrei Bobrov]

d = [    1      2    0.2    .3    .2  .1  .2  .69  .87   .8
2      3    0.2    0.8   .7  .5  .6  .9   .5   .8
2      4    0.2    .3    .2  .1  .2  .69  .87   .8
5      8    0.2    0.8   .7  .5  .6  .9   .5   .8]
d1 = [    1      2    94
2      4    95]
out = [d1, d(ismember(d(:,1:2),d1(:,1:2),'rows'),3:end)]

[FIR]

thank u andrei,as per your comment i got the output,i have such 100 rows and 10 column of data

i know to plot k means clustering,i need 100 k means graph for those 100 r0ws,(1 kmeans for 1 row)i thought of writing function and calling it back,even for that the programming lines becomes more

i have code for k means clustering

X is data of 1row and 10 columns

idx,ctrs] = kmeans(X,3,...

'Distance','city',...

'Replicates',5,...

'Options',opts);

plot(X(idx==1,1),X(idx==1,2),'r.','MarkerSize',14)

hold on

plot(X(idx==2,1),X(idx==2,2),'b.','MarkerSize',14)

plot(X(idx==3,1),X(idx==3,2),'g.','MarkerSize',14)

legend('DBLCL','FL','CLL')