Update README.md

parent 75c1acbd
Pipeline #111627 canceled with stages
......@@ -167,12 +167,18 @@ There are 3 scripts available to visualise the results of the clustering process
2. [montecarlovisualisation.py](src/test/resources/montecarlovisualisation.py): line graph visualising the average distance cost for random clustering(with Monte Carlo)
3. [silhouetteVisualisation.py](src/test/resources/silhouetteVisualisation.py): point graph visualising the silhouette score of different clusterings sorted by cluster size
Execute them by running from the root of the project after executing all test in `EvaluationTest` or `MonteCarloIntegrationTest`:
Before using them install Python 3+ and the packages `matplotlib` and `numpy`.
After running `EvaluationTest`(Warning: very long runtime) you can visualise the results by calling(from the project root):
```bash
python3 src/test/resources/evaluationVisualisation.py target/evaluation/autopilot/emam/clusteringResults.json target/evaluation/pacman/emam/clusteringResults.json target/evaluation/supermario/emam/clusteringResults.json target/evaluation/daimler/emam/clusteringResults.json
```
or
```bash
python3 src/test/resources/montecarlovisualisation.py target/evaluation/autopilotMC/monteCarloResults.json target/evaluation/pacmanMC/monteCarloResults.json target/evaluation/supermarioMC/monteCarloResults.json target/evaluation/daimlerMC/monteCarloResults.json
```
or
```bash
python3 src/test/resources/silhouetteVisualisation.py target/evaluation/autopilotSilhouette/emam/clusteringResults.json target/evaluation/pacmanSilhouette/emam/clusteringResults.json target/evaluation/supermarioSilhouette/emam/clusteringResults.json target/evaluation/daimlerSilhouette/emam/clusteringResults.json
```
......
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