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README.md

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 **Note:** The tag `paper-version` matches the implementation at the time of the paper's publication. The current version might look significantly different depending on how much time has passed since then.
 
+**Note**: This software is based on the bhtsne library, its native executable and the python interface that is used to call the native executable. This library is the official implementation of t-SNE, made by its authors. Using the exact same input data, different systems will generate slightly different outputs in this library, and such differences will propagate to our software.
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 # Data Sets #
 All data sets used in the paper are in the `data` folder, formatted as comma separated values (csv). 
 Most of them are available online from the [UCI Machine Learning Repository](http://archive.ics.uci.edu/ml/index.php): Iris, Breast Cancer Wisconsin (Original), Pima Indians Diabetes, and SPECTF. We also used a custom-made data set with Gaussian clusters.