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As step 3 can be performed simultaneously for multiple random clustering, we implemented a parallel computing version of HMMC to decrease the computation time.
Oracle is going to great lengths at this conference to portray itself as a comprehensive company something like an enterprise computing version of Apple, designing hardware and software to work together from the start.
Fortunately, some of the machine learning algorithms (e.g., population-based algorithms) can essentially be used for parallel computing, which have been demonstrated for several years, such as parallel computing version of genetic algorithm [122].
Furthermore, we have developed a parallel computing version of the program, and it increases the speed by over 10-fold our server computer.
Computations were performed in R, a language and environment for statistical computing, version 2.15.1.
Statistical analysis was performed using the R language and environment for statistical computing version 3.4.3 [18].
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GAMs were computed using the mgcv-package (version 1.4 1) in R (The R Foundation for Statistical Computing, version 2.8.1), and the SPSS statistical package (version 18) was used for the remaining statistical analyses.
Bivariate Mantel tests for genetic, Euclidean, temporal continuous distances and ownership were computed in R (R Foundation for Statistical Computing, version 2.9, Vienna, Austria) using vegan package and Pearson correlation coefficient [ 31].
Statistical analyses were performed using R software (R Foundation for Statistical Computing, version 3.2.4, Vienna, Austria) except the linear model analysis performed using JMP 11 (SAS institute, Cary, NC).
Statistical analyses were performed with IBM SPSS Statistics, Version 24 (SPSS, Chicago, IL, USA) and The R Project for Statistical Computing, Version 3.4.0 (2017-04-21), Copyright © 2017 The R Foundation for Statistical Computing and GraphPad PRISM version 7 (San Diego, CA, USA).
Analyses were performed using R packages (The R Project for Statistical Computing, version 2.10.1).
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