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. The methods are applied to the construction of p-adic classifiers in the context of learning.
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عنوان ژورنال:
- CoRR
دوره abs/0903.2870 شماره
صفحات -
تاریخ انتشار 2009