Re: [Fwd: Re: [Databionic-ESOM-User] ESOM]

[Katerina M. <mit...@un...>]

thank you :)

fa...@Ma... wrote:

>Hi Katerina,
>
>the format of your file looks ok. the data itself looks quite weird. there
>are only few unique values in most columns with many duplicates. this
>seems to throw off the pareto density estimatio course into an endless
>loop finally running out of memory. the actual training suceeds, only the
>subsequent centering of the map around the closest neuron is affected. you
>can work around this using the command line option "-dc" (= don't center),
>that is, unfortunately only available on the command line, not in the gui.
>
>since our ressources are currently very limited I don't know when this can
>be fixed. It does seem like a very unlikely case caused by your actual
>dataset to me.
>
>I strongly recommend you to look closer at your data before you feed into
>ESOM or any clustering algorithm, in particular the scales of the
>variables that differ tremendously in your file.
>
>bye
>fabian
>
>  
>
>>Dear Fabian,
>>I am facing some problems using eSOM and your help would be very valuable
>>for me.
>>I am using eSOM for an .lrn file and when I try to perform training (with
>>the default parameters) I receive the following message
>>
>>spheres for 18-tile contain on average 65% of the data searching pareto
>>radius ...
>>
>>
>>and finally
>>
>>at databionics.math.ParetoDensity.getParetoRadius(ParetoDensity.java:156)
>>at databionics.math.ParetoDensity.getParetoRadius(ParetoDensity.java:323)
>>
>>The training can not be completed it stops in 95%.
>>
>>I don't understand what is wrong??
>> I suppose that something is wrong with the lrn file used for the
>>training.
>>I attach the file used for the training.
>>
>>I would appreciate it if you could help me.
>>
>>Thanking you in advance.
>>Katerina
>>
>>
>>    
>>
>>>>@fabian could you please set the reply-to headers for the list?
>>>>        
>>>>
>>>done
>>>
>>>      
>>>
>>>>Katerina Mitrokotsa wrote:
>>>>
>>>>        
>>>>
>>>>>I have recently tried to use ESOm and although I have found it really
>>>>>interesting I can't understand if there is a way to inspect neuron
>>>>>values Does this tool permit us to see which samples of data
>>>>>correspond to which neuron?
>>>>>          
>>>>>
>>>>You can select the samples in the Data tab at the bottom, which are
>>>>then highlighted.
>>>>        
>>>>
>>>addition: you can also select neurons in the map with the data mouse
>>>(activate the leftmost icon in the toolbar). the data points assigned to
>>>these neurons will be displayed in the data tab at the bottom. you can
>>>also load a *.names file with text labels for the data points. these
>>>will be displayed in the last columns of the data table.
>>>
>>>      
>>>
>>>>>Furthermore which is the procedure in order to use a dataset for
>>>>>training and then another dataset for testing.
>>>>>          
>>>>>
>>>>To do this you have to add classmasks to your ESOM and then use the
>>>>Project tool to see if the test set is projected into the correct
>>>>classes. The prosses isn't automated as far as i know (fabian?)
>>>>        
>>>>
>>>creating the class masks is manual (in cvs there is some semi-automated
>>>support with flood filling already). projection is automated and can be
>>>run via the menu or the command line. short summary:
>>>
>>>- create two seperate *.lrn for training and test data
>>>- train ESOM with training data
>>>- optional: load *.cls with known classification of training data
>>>- identify clusters and create class mask (also *.cls)
>>>- load *.lrn with test data
>>>- project this data on ESOM
>>>- save newly created *.cls for test data
>>>- optional: analyze *.cls for test data, e.g. compare to *.cls with
>>>known classification of test data.
>>>
>>>we offer no tools for the last step which is rather easy however. i
>>>could post some matlab code, if you wish.
>>>
>>>bye
>>>fabian
>>>
>>>
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>>>
>>
>>
>>
>>    
>>
>
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