From: <mit...@we...> - 2005-06-01 13:16:15
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Dear Mr. Mörchen and Mr. Efthymiou , I really appreciate your response which did help me understand and make clear some things but I still have some questions and problems with ESOM. I tried to follow the steps of your guidelines but I have some questions. - create two seperate *.lrn for training and test data 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)? -train ESOM with training data ok - 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? > - 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. - load *.lrn with test data ok > - project this data on ESOM ok > - save newly created *.cls for test data How do I create the new *.cls data > - optional: analyze *.cls for test data, e.g. compare to *.cls with > known classification of test data. I would really appreciate it if you could give me answer in my questions. It very very important for me. I really admire your work. Looking forward for your response and your future work. Please reply to me to this e-mail address mit...@un... Not the address that I am currently send you this e-mail, because I wont receive it. Thank 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 > > > ------------------------------------------------------- > This SF.Net email is sponsored by Yahoo. > Introducing Yahoo! Search Developer Network - Create apps using Yahoo! > Search APIs Find out how you can build Yahoo! directly into your own > Applications - visit > http://developer.yahoo.net/?fr=offad-ysdn-ostg-q22005 > _______________________________________________ > Databionic-ESOM-User mailing list > Dat...@li... > https://lists.sourceforge.net/lists/listinfo/databionic-esom-user |