How can I use the Support Vector Machine (SVM) for making classification of trajectories of many objects
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Dear Sir,
I want to make trajectories' classification of many objects by using SVM classifier. I am still new in using SVM classifier. I made check on the internet and I find simple example by using SVM classifier "http://www.mathworks.it/it/help/stats/support-vector-machines-svm.html" but I don't understand in the end if example how the SVM make classification. I would like to know "Can you please support me with some example (links) about SVM applications (clear applications) to guide me after that to make classifications to many different trajectories??
Thank you very much
Mohamed Elwakdy
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Answers (1)
Shashank Prasanna
on 9 Oct 2013
The link you provided has two full examples of classification using SVM. Did you try running those? Do you have specific questions after you ran the examples?
It is really as simple as:
% Step 1: Training
SVMStruct = svmtrain(Training,Group)
% Step 2: Classification
newGroup = svmclassify(SVMStruct,newSample)
newGroup has the classified information for the new data newSample.
Try out the examples in the documentation and then try different problems from datasets here:
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Shashank Prasanna
on 14 Oct 2013
Unfortunately I am not aware of another website for your examples. If you can post your code and data we can take a look at it.
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