Last updated: 2018-07-25
Code version: 2e33ca2
Welcome to our research website showcasing a collaborative machine learning project with the University of Sheffield’s Department of Computer Science anaalysing the behaviour of bees using k-means cluster analysis, a popular machine learning method.
The site has two main tabs:“Overview” which gives a high level explanation of the problem that this project solves and “Paper” which is an early draft of what is intended to become a scientific paper.
“N Clusters” is a subsequent portion of this site whcih gives an in depth analysis performed in Python to determine the segment length and number of clusters that obtains the maximum information from the data.
Feel free to browse as you wish and if you have any questions or want to comment on anything, we would love for you to get in touch. I especially welcome feedback and constructive criticism!
sessionInfo()R version 3.4.3 (2017-11-30)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 7 x64 (build 7601) Service Pack 1
Matrix products: default
locale:
[1] LC_COLLATE=English_United Kingdom.1252
[2] LC_CTYPE=English_United Kingdom.1252
[3] LC_MONETARY=English_United Kingdom.1252
[4] LC_NUMERIC=C
[5] LC_TIME=English_United Kingdom.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
loaded via a namespace (and not attached):
[1] compiler_3.4.3 backports_1.1.1 magrittr_1.5 rprojroot_1.3-2
[5] tools_3.4.3 htmltools_0.3.6 yaml_2.1.16 Rcpp_0.12.13
[9] stringi_1.1.6 rmarkdown_1.8 knitr_1.17 git2r_0.21.0
[13] stringr_1.3.0 digest_0.6.12 evaluate_0.10.1This R Markdown site was created with workflowr