NDLI: On p-adic classification

Content Provider	Springer Nature Link
Author	Bradley, Patrick Erik
Copyright Year	2009
Abstract	A p-adic modification of the split-LBG classification method is presented in which first clusterings and then cluster centers are computed which locally minimize 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.
Starting Page	271
Ending Page	285
Page Count	15
File Format	PDF
ISSN	20700466
Journal	P-Adic Numbers, Ultrametric Analysis, and Applications
Volume Number	1
Issue Number	4
e-ISSN	20700474
Language	English
Publisher	SP MAIK Nauka/Interperiodica
Publisher Date	2009-11-15
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	hierarchical classification p-adic dendrograms unsupervised learning p-adic classifiers Algebra
Content Type	Text
Resource Type	Article
Subject	Mathematics

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On p-adic classification