ar X iv : 0 90 3 . 28 70 v 1 [ cs . L G ] 1 6 M ar 2 00 9 ON p - ADIC CLASSIFICATION
نویسنده
چکیده
A p-adic modification of the split-LBG classification method is presented in which first clusterings and then cluster centers are computed which locally minimise an energy function. The outcome for a fixed dataset is independent of the prime number p with finitely many exceptions. In the end, the methods are applied to the construction of p-adic classifiers in the context of learning.
منابع مشابه
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تاریخ انتشار 2009