View source for Hw1 discussion ECE662 S12 - Rhea

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=Discussion page for [[Hw1_ECE662_S12|First Homework]], ECE662, Spring 2012=
*If you are not sure what to do, you may take a look at the statement of the second question in [[Homework_1_OldKiwi |hw1, Spring 2008]]. But please feel free to deviate, as we discussed in class. [[user:mboutin|-pm]]
*I was hoping that some of the guys who volunteered to put information about data acquisition would have done so. Could you please post some links guys?
**Please visit http://www.kdnuggets.com/datasets/ It is the website with the most number of interesting datasets that i have seen. Just to mention some:
***Email dataset from Enron,
***Cancer Program Data Sets from Broad Institute,
***Yahoo Sandbox Dataset,
***UC Irvine Machine Learning Repository.
*In case you are having trouble generating multivariate normal data, here is a [[Generating_Gaussian_Samples_OldKiwi|page explaining how to do it]]. -pm
*Write comment/question/advice here
Question: I can generate multivariate normal data for 'w' classes. I am not sure how to plot them together with different colors. 
eg.: For 'w' = 2, I can plot both the dataset on same surf plot but it is the same colormap. Is it possible to have two color which can help in distinguishing two classes? [--[[User:Gupta101|Gupta101]] 13:29, 12 February 2012 (UTC)]
*'''Re)''' Hi Gupta, in Matlab, I use 'plot' function (instead of 'surf') twice and put 'hold on' command between them. Suppose that you have generated samples of 2 classes: samples_1 = mvnrnd(mu1,SIGMA1,nsample1); and samples_2 = mvnrnd(mu2,SIGMA2,nsample2);

then '''for 2D case'''

plot(samples_1(:,1),samples_1(:,2),'or');

hold on;

plot(samples_2(:,1),samples_2(:,2),'ob');

'''for 3D case'''

plot3(samples_1(:,1),samples_1(:,2),samples_1(:,3),'or');

hold on;

plot3(samples_2(:,1),samples_2(:,2),samples_2(:,3),'ob'); ['''User:yung-yao chen
16:19, 12 February 2012''']
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