plotting more data from large data

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FIR
FIR 2011-11-5
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
  2 个评论
Image Analyst
Image Analyst 2011-11-5
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
FIR 2011-11-7
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

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回答（1 个）

Wolfgang Schwanghart
Hi
doc gscatter
hope this helps. Regards, W.

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