A geometric approach to consistent classification
β Scribed by Yoram Baram
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 167 KB
- Volume
- 33
- Category
- Article
- ISSN
- 0031-3203
No coin nor oath required. For personal study only.
β¦ 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.
π SIMILAR VOLUMES
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.