Doug's MATLAB Video Tutorials

December 13th, 2007

Practical Example: Visualizing the density of a data cloud

 I was working with a MATLAB user that had a large number of data points in the form of x,y,z triples. He was mostly interested in the density of these data points over the range of the data. At first he tried to just do a scatter plot, but there was too much data to comprehend. Instead, I had him do a few different visualizations using histograms and Sliceomatic (download it here).
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By Doug Hull

14:37 UTC | Posted in Format: Video, Topic: Practical example | Permalink | 3 Comments »

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3 Responses to “Practical Example: Visualizing the density of a data cloud”

  1. Mike Briggs replied on December 18th, 2007 at 12:32 UTC :

    Very useful! Thanks for telling us about Sliceomatic.

    Mike Briggs

  2. kakxi replied on January 31st, 2011 at 00:27 UTC :

    Hi Doug, I have a question. can vectorization be used for the for- loop part? If it can be used, how? I have very large datasets. Thanks.

    Kakxi

  3. dhull replied on January 31st, 2011 at 19:40 UTC :

    @Kakxi,

    Why would you want to? Vectorization does not nesicarrily speed things up. Use profiler to find the real bottlenecks!

    Doug

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