diff --git a/README.md b/README.md index dbc539a..bd023ee 100755 --- a/README.md +++ b/README.md @@ -22,6 +22,7 @@ pip install -r requirements.txt ``` For the frontend: +- [Node.js](https://nodejs.org/en/) - [D3.js](https://d3js.org/) - [Plotly.js](https://github.com/plotly/plotly.js/) @@ -48,8 +49,14 @@ FLASK_APP=tsneGrid.py flask run Then, open your browser and point it to `localhost:8000`. We recommend using an up-to-date version of Google Chrome. +<<<<<<< HEAD # Reproducibility of the Results # The following instructions describe how to reach the results present in Figure 1 of the article. The aforementioned figure is connected with the Subsection 5.2 (*Use Case: Improving Diabetes Classification*) and is the main use case described in the paper. +======= +# Reproducability of the Results # +<<<<<<< HEAD +The following instructions describe how to reach the results present in Figure 1 of the article. The aforementioned figure is connected with the Subsection 5.2 ("Use Case: Improving Diabetes Classification"). This is more or less the main use case described in the paper. +>>>>>>> 0a187cf4591abcfa80534fa817ada427cd70a402 **Note:** We used OSX and Google Chrome in all our tests, so we cannot guarantee that it works in other OS or browser. However, since t-viSNE is written in JS and Python, it should work in all the most common platforms. @@ -67,4 +74,8 @@ The following instructions describe how to reach the results present in Figure 1 **Outcome:** The above process describes how you will be able to reproduce precisely the results presented in Figures 1 and 7 of the paper. Thank you for your time! # Corresponding Author # +<<<<<<< HEAD For any questions with regard to the implementation or the paper, feel free to contact [Angelos Chatzimparmpas](mailto:angelos.chatzimparmpas@lnu.se). +======= +For any questions with regard to the implementation or the paper, feel free to contact: [Angelos Chatzimparmpas](mailto:angelos.chatzimparmpas@lnu.se) +>>>>>>> 0a187cf4591abcfa80534fa817ada427cd70a402