retrieving data and plotting it

FIR
2011 11 5
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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

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Andrei Bobrov
Andrei Bobrov 2011-11-5

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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)]

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FIR
FIR 2011-11-5
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')

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