plotting more data from large data

I have 100rows*10col,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')

can u please help

i have values s 
A   A  A  A   B B  B  B      C   C  
.2 .5 .9 .7 .6 .8 .1 .269  .259 .25
'
'
'
'
'
'
.1  .36  .69  .25  .47  .36 .01  .25 .369 0.25

[Image Analyst]

The programming lines become more what? You didn't finish the sentence. I don't even know what you're asking. Are you wanting to know if you should use scatter() instead of plot()? By the way, 100 by 10 10 is not large that's only 1000 elements. Even a garden variety digital image will have 18 million elements.

[FIR]

I said the number of programming lines increases,i want to plot k means clustering for each row,i have 100 rows,i have given the data above

Answer 1

[Wolfgang Schwanghart]

Hi

doc gscatter

hope this helps. Regards, W.

[FIR]

I need 100 graphs for those 100 rows ?how it can be done