Polygonal data analysis: A new framework in symbolic data analysis

作者：

Highlights：

• We introduce a new framework for polygonal data analysis in the symbolic data analysis paradigm.

• We developed descriptive statistics (for instance, mean, variance, covariance and histogram) and a linear regression model are proposed for symbolic polygonal data.

• We developed a package in R language named psda. This package is availablefor download in www.de.ufpe.br/ ccysneiros/sda/psda.html or R CRAN package repository in https://CRAN.R-project.org/package=psda.

摘要

•We introduce a new framework for polygonal data analysis in the symbolic data analysis paradigm.•We developed descriptive statistics (for instance, mean, variance, covariance and histogram) and a linear regression model are proposed for symbolic polygonal data.•We developed a package in R language named psda. This package is availablefor download in www.de.ufpe.br/ ccysneiros/sda/psda.html or R CRAN package repository in https://CRAN.R-project.org/package=psda.

论文关键词：Interval data,Symbolic polygonal data,Polygonal regression

论文评审过程：Received 27 April 2018, Revised 30 June 2018, Accepted 10 August 2018, Available online 10 September 2018, Version of Record 21 November 2018.

论文官网地址：https://doi.org/10.1016/j.knosys.2018.08.009