Usue/GenerationSyntheticDatabases
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This directory contains additional information and data concerning the submitted publication titled: "Similarity Measure Selection for Clustering Time Series Databases" In this document the content of each folder is explained in detail. ###################DATABASES#################### -In this folder the databases used in the study are available. We must note that each database is saved in an .RData file with a title that specifies the type of database and a number. -These .RData files contain a unique R object, denominated database. -The database object is a list with two positions. -To access to one of these two positions we use the sintax in R: database[[1]] and database[[2]]. -The two positions save the following data: *The first is another list, that saves the actual database. Each of the positions of the list is an array that describes one time series. (Example: to access the 17th series of the database we use database[[1]][[17]]) *The second is a numerical array that saves the cluster that each series belongs to. (Example: to find out the cluster to which the 17th series belongs we run database[[2]][17]) ###################PARAMETERS#################### -This file contains 5 files each corresponding to a database type. -In each file we can find the parameters used to generate each time series database. -The parameters are ordered in the following manner: *nº of series *length of series *noise level *outliers level *shift level *warp level (only for database types kohler, twopatterns and CBF) *option nº for proportion of series in each cluster. ###################FUNCTIONS#################### -This file contains the R code to generate the synthetic databases. -There is a .R code for each of the types of database. This code can be used to generate a time series database of a certain type and some specific characteristics. -There is a simulation.R file that codes the complete generation process of the synthetic databases.
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Generation of Synthetic Time Series Databases
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