I am trying to visualise large datasets in a 3D Cartesian system in order to view the density of their overlap regions. Does anyone have experience of this using MATLAB for similar visualisation or are there better packages for this?
You could import such data sets in programs such as Amira (commercial) or Slicer (open-source) for visualization. These programs also allow for segmentation, which will enable you to see the overlapping regions for further examination.
You could import such data sets in programs such as Amira (commercial) or Slicer (open-source) for visualization. These programs also allow for segmentation, which will enable you to see the overlapping regions for further examination.
Amira or Slicer are definitely good options. If you want to do this kind of analysis in Matlab, you will probably need to wrap your data points in a convex hulls with specific visual properties so that you can 'see' the overlap. It could require quite a bit of customization, but it can definitely be done.
Thanks for the input everyone. I was thinking of adding arguments cumulatively across x-y to build up a dimension in z (using MATLAB) but now it seems there may be a faster way of getting the same result. I will check out the software packages mentioned. Thanks again everyone.
i am recommending you RapidMiner R tool which is free avaliable and also suppert many ways to import data. it is also provide 3D visualization for large dataset.