psda: Polygonal Symbolic Data Analysis

A toolbox in symbolic data framework as a statistical learning and data mining solution for symbolic polygonal data analysis. This study is a new approach in data analysis and it was proposed by Silva et al. (2019) <doi:10.1016/j.knosys.2018.08.009>. The package presents the estimation of main descriptive statistical measures, e.g, mean, covariance, variance, correlation and coefficient of variation. In addition, a method to obtain polygonal data from classical data is presented. Empirical probability distribution function based on symbolic polygonal histogram and a regression model with its main measures are presented.

Getting started

Package details

AuthorWagner Silva [aut, cre, ths], Renata Souza [aut], Francisco Cysneiros [aut]
MaintainerWagner Silva <[email protected]>
Package repositoryView on CRAN
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psda documentation built on June 25, 2019, 1:03 a.m.