DocumentCode :
3036224
Title :
RecurrenceVs: A Software Tool for Analysis of Similarity in Recurrence Plots
Author :
Bautista-Thompson, E. ; Brito-Guevara, R. ; Garza-Dominguez, Ramiro
Author_Institution :
Centro de Tecnol. de la Inf. DES-DACI, Univ. Autonoma del Carmen, Carmen
fYear :
2008
fDate :
Sept. 30 2008-Oct. 3 2008
Firstpage :
183
Lastpage :
188
Abstract :
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.
Keywords :
pattern classification; software tools; Cross Recurrence Plots; Recurrence Quantification Analysis; RecurrenceVs; Visual Recurrence Analysis; classification; data sequence; genomic sequences; hidden data relationship identification; recurrence plots analysis; software tool; time series; Automotive engineering; Bioinformatics; Data mining; Data visualization; Genomics; Pattern analysis; Robots; Software tools; Time measurement; Time series analysis; Recurrence Plots; Similarity; Software Tool;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics, Robotics and Automotive Mechanics Conference, 2008. CERMA '08
Conference_Location :
Morelos
Print_ISBN :
978-0-7695-3320-9
Type :
conf
DOI :
10.1109/CERMA.2008.18
Filename :
4641068
Link To Document :
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