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README.md

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Instructions:

  1. Clone MLCut (if you use a web server save it in a web directory otherwise look at ** below)
  2. Edit the "scripts/CSV-TSclust-hclust-rjson.r" file to point to your own CSV data file. Note that the first column that contains the names/ids of your data should be named "ID". Column names of the measurement could be anything you like
  3. Execute the R script. You may be asked to install any missing r-packages while running the script. The output will be stored in a JSON file which together with the original CSV file will be used as input to MLCut
  4. Edit the "PATH_TO_JSON" and "PATH_TO_CSV" variables in the first lines of "mlcut.js" to match the path and file names of your own .csv and .json data files
  5. Access index.html with your web browser **

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** How to configure Chrome so that it allows XMLHttpRequest (file access from files) in the case you don't run a local web server:

a) Create a Shortcut for Chrome

b) Right Click on Shortcut icon

c) Select Properties

d) Select Shortcut tab

e) Add "--allow-file-access-from-files" flag on Target input e.g. Target: "C:\Program Files (x86)\Google\Chrome\chrome.exe" --allow-file-access-from-files

f) -> Click Apply -> Click OK

g) Open index.html using the Chrome shortcut

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Find our paper in: https://diglib.eg.org/handle/10.2312/cgvc20161288