递归图:递归图相似性分析的软件工具

E. Bautista-Thompson, R. Brito-Guevara, R. Garza-Domínguez
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引用次数: 2

摘要

递归图显示数据序列内的空间和时间相关性。该技术允许识别数据序列中隐藏的数据关系。由于现有的复发图分析软件(如VRA(视觉复发图分析)、RQA(复发图量化分析)和CRP(交叉复发图)缺乏相似性量化工具,因此比较复发图以识别共同结构是困难的。在这项工作中,提出了一个用于分析递归图之间结构相似性的软件工具,该工具名为RecurrenceVs,可以对不同数据序列生成的递归图之间的相似性进行比较和量化。此外,它还允许根据所研究的一组递归图之间的相似度来生成分类。使用从时间序列到基因组序列的不同数据集来评估该工具的性能和可用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
RecurrenceVs: A Software Tool for Analysis of Similarity in Recurrence Plots
Recurrence plots visualize spatial and temporal correlations inside sequence of data. This technique allows the identification of hidden data relationships inside a data sequence. The comparison between recurrence plots in order to identify common structures is difficult because the lack of similarity quantification tools in the available software for recurrence plots analysis such as VRA (Visual Recurrence Analysis), RQA (Recurrence Quantification Analysis) and CRP (Cross Recurrence Plots). In this work a software tool for analysis of structural similarity between recurrent plots is proposed, the tool named RecurrenceVs allows the comparison and quantification of similarity between recurrence plots generated from different sequences of data. Also it allows the generation of a classification by their similarity degree between recurrence plots from a set under study. Different datasets from time series to genomic sequences were used to evaluate the performance and usability of this tool.
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