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mahound
Joined: 11 Oct 2008 Posts: 1
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Posted: Sat Oct 11, 2008 7:09 am Post subject: No negatives |
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Hello,
If I have a data set where only positive cases are labelled as such, and all the other ones are labelled as "Unknown", which approach should I take in order to extract some kind of classification rule?
Every possible strategy that I find implies knowing apriori a classification rule (which is exactly what I want to find).
Any suggestions?
Best regards,
Pedro |
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editor Site Admin
Joined: 04 Oct 2005 Posts: 120 Location: Boston, MA
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Posted: Fri Oct 24, 2008 5:35 am Post subject: learning from positive and unknown instances |
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I suggest you try some clustering algorithms and see if structure emerges.
One-class SVM was also helpful in such situations - google One-class SVM for more. |
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