On data analysis and variable selection: the minimum entropy analysis

dc.creatorTseng, Chih-Yuan
dc.creatorCHen, Chien-Chih
dc.date2006-09-29
dc.date.accessioned2026-07-07T07:26:15Z
dc.date.available2026-07-07T07:26:15Z
dc.descriptionIn this work, we present a minimum entropy analysis scheme for variable selection and preliminary data analysis. The variable selection can be achieved by the increasing preference of variables. We show such a preference to has a unqiue form, which is given by the entropy of models associated with variables. Evaluating the entropy provides a complete ranking scheme of variables. This scheme not only indicates preferred variables but also may reveal the system's nature and properties. We illustrate the proposed scheme to analyze a set of geological data for three carbonate rock units in Texas and Oklahoma, and compare to the discriminant function analysis. The result suggests this scheme to provide a quick and robust analysis, and the use in data analysis is promising.
dc.description9 pages and 2 tables
dc.identifierhttps://arxiv.org/abs/physics/0609250
dc.identifierhttp://arxiv.org/abs/physics/0609250
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/117012
dc.subjectData Analysis, Statistics and Probability
dc.subjectGeophysics
dc.titleOn data analysis and variable selection: the minimum entropy analysis
dc.typetext

Files

Collections