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A geometric approach to consistent classification

✍ Scribed by Yoram Baram


Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
167 KB
Volume
33
Category
Article
ISSN
0031-3203

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✦ Synopsis


A classi"er is called consistent with respect to a given set of class}labeled points if it correctly classi"es the set. We consider classi"ers de"ned by unions of local separators (e.g., polytopes) and propose algorithms for consistent classi"er reduction. The proposed approach yields a consistent reduction of the nearest-neighbor classi"er, relating the expected classi"er size to a local clustering property of the data and resolving unanswered questions raised by Hart (IEEE Trans. Inform. Theory IT-14(3) (1968)) with respect to the complexity of the condensed nearest neighbor method.


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In this article we propose a data-based method for constructing combined classifiers. The resulting classifiers, which are linear in nature, turn out to be consistentβ€’ (~) 1997 Elsevier Science B.V.