Improvement of Classifier Performance Based on Box-Cox Transformation
Xiao‐Jun Wu · Jisuanji gongcheng · 2009
Bayes classifier, minimum distance classifier, nearest neighbour classifier and back propagation neural networks are widely used classifiers.In order to improve their performance, this paper introduces the idea of Box-Cox transformation.Box-Cox transformation, which can transform the data and make the distribution nearer normal distribution, is a simple but quite effective data processing technology.Experiment results show that, as the result of the introducation of Box-Cox transformation, the accurate rate of classifiers is improved remarkably.