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Fitness functions in editing k-NN reference set by genetic algorithms

✍ Scribed by Ludmila I. Kuncheva

Book ID: 104161842
Publisher: Elsevier Science
Year: 1997
Tongue: English
Weight: 534 KB
Volume: 30
Category: Article
ISSN: 0031-3203
DOI: 10.1016/s0031-3203(96)00134-3

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✦ Synopsis

In a previous paper the use of GAs as an editing technique for the k-nearest neighbor (k-NN) classification technique has been suggested. Here we are looking at different fitness functions. An experimental study with the IRIS data set and with a medical data set has been carried out. Best results (smallest subsets with highest test classification accuracy) have been obtained by including in the fitness function a penalizing term accounting tbr the cardinality of the reference set. (

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