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*In case you are having trouble generating multivariate normal data, here is a [[Generating_Gaussian_Samples_OldKiwi|page explaining how to do it]]. -pm
 
*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
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Question: I can generate multivariate normal data for 'w' classes. I am not sure how to plot them together with different colors.
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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)]
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**answer here
 
**answer here
 
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Revision as of 09:29, 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.
  • 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)]

    • answer here

Back to hw1 ECE662 Spring 2012

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Ph.D. 2007, working on developing cool imaging technologies for digital cameras, camera phones, and video surveillance cameras.

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