Supervised Parametric Classification on Simulated Data via Box-Cox Transformation. Rahman, M., M., Hossain, M., M., Uddin, M., K., & Majumder, A., K. International Journal of Advanced Scientific and Technical Research Issue, 3(1):541-550, 2013. abstract bibtex Most of the classification techniques are developed under the normality assumption. In practical situations data set of course may be non-normal. Hence, we are motivated to apply Box-Cox transformation for transforming non-normal data set to near normal data set. In this paper we consider different parametric classification techniques to classify objects into classes and make a comparative study among these classification techniques to recognize the suitable one for a given situation. There is no unique classification technique that is suitable for all the situations. In most of the situations classification techniques gives few misclassifications under transformed data set. Also, the classification accuracy through Naive Bayes technique is better than the other classification techniques. We also investigate the effect of Box-Cox transformation and observe that, the classification accuracy under transformed data set is higher than the simulated data set.
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title = {Supervised Parametric Classification on Simulated Data via Box-Cox Transformation},
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abstract = {Most of the classification techniques are developed under the normality assumption. In practical situations data set of course may be non-normal. Hence, we are motivated to apply Box-Cox transformation for transforming non-normal data set to near normal data set. In this paper we consider different parametric classification techniques to classify objects into classes and make a comparative study among these classification techniques to recognize the suitable one for a given situation. There is no unique classification technique that is suitable for all the situations. In most of the situations classification techniques gives few misclassifications under transformed data set. Also, the classification accuracy through Naive Bayes technique is better than the other classification techniques. We also investigate the effect of Box-Cox transformation and observe that, the classification accuracy under transformed data set is higher than the simulated data set.},
bibtype = {article},
author = {Rahman, M M and Hossain, M M and Uddin, M K and Majumder, A K},
journal = {International Journal of Advanced Scientific and Technical Research Issue},
number = {1}
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