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

Autor:	Ping He, Yi-Zeng Liang, Cheng-Jian Xu
Rok vydání:	2021
Předmět:	Normal distribution Logarithm Mass spectrum Decision tree Algorithm Classifier (UML) Mathematics
Zdroj:	Journal of Data Science. 1:497-509
ISSN:	1683-8602 1680-743X
DOI:	10.6339/jds.2003.01(4).179
Popis:	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 represen- tation. However, small change in the data set due to the experiment error can often result in a very different series of split. In this pa- per, a prior logarithm normal distribution is adopted to weight the original mass spectra. It helps to building an honest tree for later structure elucidation.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::25e67a6cd200a04bda377a2b0d6eeddf https://doi.org/10.6339/jds.2003.01(4).179 Zobrazit plný text záznamu