Incremental k most similar neighbor classifier for mixed data

Incremental k most similar neighbor classifier for mixed data

This paper presents an incremental k-most similar neighbor classifier, for mixed data and similarity functions that are not necessarily distances. The algorithm presented is suitable for processing large data sets, because it only stores in main memory the k most similar neighbors processed until s...

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Bibliographic Details
Main Authors: Guillermo Sánchez-Díaz, Uriel E. Escobar-Franco, Luis R. Morales-Manilla, Iván Piza-Dávila, Carlos Aguirre-Salado, Anilu Franco-Arcega
Format: Article
Language:English
Published: Universidad de Antioquia 2013-08-01
Series:Revista Facultad de Ingeniería Universidad de Antioquia
Subjects:
supervised classification
incremental algorithms
artificial intelligence
pattern recognition
Online Access:https://revistas.udea.edu.co/index.php/ingenieria/article/view/16307

Internet

https://revistas.udea.edu.co/index.php/ingenieria/article/view/16307

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