Building an Honest Tree for Mass Spectra Classification Based on Prior Logarithm Normal Distribution

by Cheng-Jian Xu, Ping He and Yi-Zeng Liang

Journal of Data Science, v.1, no.4, 497-509

Abstract

Structure elucidation is one of big tasks for analytical researcher and it often needs an efficient classifier. The decision tree is especially attractive for easy understanding and intuitive representation. However, small change in the data set due to the experiment error can often result in a very different series of split. In this paper, a prior logarithm normal distribution is adopted to weight the original mass spectra. It helps to building an honest tree for later structure elucidation.

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