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=Discussion page for [[Hw1_ECE662_S12|First Homework]], ECE662, Spring 2012= | =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 | *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'''] | ||
---- | ---- | ||
[[Hw1_ECE662_S12|Back to hw1 ECE662 Spring 2012]] | [[Hw1_ECE662_S12|Back to hw1 ECE662 Spring 2012]] | ||
[[2012_Spring_ECE_662_Boutin|Back to ECE662 Spring 2012 course page]] | [[2012_Spring_ECE_662_Boutin|Back to ECE662 Spring 2012 course page]] |
Latest revision as of 11:21, 12 February 2012
Discussion page for 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 hw1, Spring 2008. But please feel free to deviate, as we discussed in class. -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.
- 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:
- In case you are having trouble generating multivariate normal data, here is a 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? [--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]