Editing for the k-nearest neighbors rule by a genetic algorithm
نویسنده
چکیده
A genetic algorithm is applied for selecting a reference set for the k-Nearest Neighbors rule. The performance has been evaluated on a medical data set by the rotation method. The results are commented together with those obtained with the standard k-NN, random selection, Wilson's technique, and the MULTIEDIT algorithm.
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ورودعنوان ژورنال:
- Pattern Recognition Letters
دوره 16 شماره
صفحات -
تاریخ انتشار 1995