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

[<mit...@we...>]

Dear Mario,
I followed the whole procedure.
Used one train data set (about 1000 records)
apply z-transformation
trained the data
load the cls file
created the class mask .cls file
loaded the test data (about 2250 records)
applied z-transformation
project the data (while project was running it appeared for every row
bm==-1 I don't know if this is relevant for the problem I faced later)
and when I selected from the menu tools--> classify

no cls file was created
error creating cls file

what did I do wrong???
Should the test data set have the same size (in records) as the train
data set?



Can I use this tool for really big files about 60.000 records (10
features)? or is it to slow?

thank you in advance it is really imporant for me to get the
classification of the test data.



Katerina


> Hi Katerina
>
>> ok but does the training test data have to include a column with the
>> class of each sample or it is the same with having a separate .cls
>> file. (in some example .lrn files there is a column for the class of
>> the data) Is it necessary one of the fields of the .lrn file to be
>> labeled as unique key (9)?
>
> if a *.cls file exists you do not have to create a column in you lrn
> file. But you need a column labeled with 9. This column has to contain
> the unique keys of the datasets.
>
>>  - optional: load *.cls with known classification of training data
>> the *.cls file should be loaded before or after the training process.
>> (I suppose before)
>> It is loaded from the tab classes or class mask?
>
> classes! the classes tab shows the classification of the data. the
> classmask tab shows the classification of the neurons.
>
>
>>
>>> - identify clusters and create class mask (also *.cls)
>> how do I identify clusters?? and create class mask?
>> Do I use the classify selection from the tools menu?
>> for some reason it doesn't seem to work although I press the start
>> button the procedure thoes not start and no output .cls file is
>> created.
>
> just enable the classmask tab and select regions on the map with the
> polygon. a right mouse click will finish the selection and one class
> will be created and shown in the tab. and so on...
>
> you can save this classmask by saving as *.cls. (button in tab)
>
> There are 2 kinds of *.cls: 1. classification of data points(classes)
> and 2. classification of neurons(classmask)
>
>>> - save newly created *.cls for test data
>> How do I create the new *.cls data
>
> maybe the user guide is not up to date. you can project new data on
> the map. (Tools - Project...) A loaded *.lrn file will be projected on
> the map and a *.bm file will be created. A *.bm file holds the
> information of the datasets positions on the map.
>
> You can also classify the loaded bestmatches by using a classmask,
> which has been created before.(Tools - Classify..) Every bm (from the
> loaded *.bm) looks in the classmask for his class number and that will
> be written in the new classification. After that you can save the
> classification (file menu).
>
>
> hope that helps
> mario