[ITK] [ITK-users] Classification from a training text file

[Matt McCormick]

Third link:

  http://public.kitware.com/vxl/doc/release/core/vnl/html/classvnl__matrix.html

On Fri, Apr 17, 2015 at 12:12 PM, Matt McCormick
<matt.mccormick at kitware.com> wrote:
> Hi Francisco,
>
> It could be possible to import the data with CVSFileReader and then
> convert the Array2D to an Image ImportImageFilter [2]. Note that
> Array2D inherits from vnl_matrix [1], which has methods to access the
> data. Let us know about your experiences.
>
> Thanks,
> Matt
>
> [1] http://www.itk.org/Doxygen/html/classitk_1_1CSVArray2DFileReader.html
>
> [2] http://www.itk.org/Doxygen/html/classitk_1_1ImportImageFilter.html
>
> [3]
>
> On Fri, Apr 17, 2015 at 9:02 AM, Francisco Lopez de la Franca
> <franciscolopezdelafranca at gmail.com> wrote:
>> Hi.
>> I have a text file made up of N rows and M columns. Each row represents a
>> measurement of M features, that is, Weka-styled.
>> I could add a last column with the class of every measurement but it is
>> optional.
>>
>> I've been havinig a look at the ITK classification classes (Bayesian,
>> k-means, etc.), but they receive an image as input (e.g. a vector image).
>>
>> I'd like to know what is the best way, in my case, to perform the
>> classification of the measurements stored in my training text file.
>>
>> Thank you very much in advance.
>> My best regards.
>>
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