Add script to visualize silhouette results

src/test/resources/silhouetteVisualisation.py

+import json
+import matplotlib.pyplot as plt
+import argparse
+
+
+def visualise_silhouette_result(filename, modelName):
+    with open(filename) as data_file:
+        data_raw = json.load(data_file)
+
+    data = []
+
+    for d in data_raw:
+        data.append((d["NumberOfClusters"], d["Score"]))
+
+    #sort by cluster size
+    data.sort(key=lambda d: d[0])
+    clusters = [cluster for (cluster, score) in data]
+    score = [score for (cluster, score) in data]
+
+    min_score = min(score)
+    max_score = max(score)
+
+    #plot
+    fig, ax = plt.subplots()
+    ax.plot(clusters, score, marker='.', linestyle='none')
+    ax.set_ylim(bottom=-1, top=1)
+    ax.set(xlabel='Cluster size', ylabel='Silhouette score',
+           title='Silhouette score of the ' + modelName + ' model ordered by clustering size')
+    ax.grid()
+    textstr = '\n'.join((
+        "min = " + str(round(min_score, 3)),
+        "max= " + str(round(max_score, 3))))
+    props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)
+    ax.text(0.95, 0.05, textstr, transform=ax.transAxes, fontsize=14,
+            verticalalignment='bottom', ha='right', bbox=props)
+    plt.show()
+
+
+def parse_args():
+    parser = argparse.ArgumentParser(description='Get json files')
+    parser.add_argument('autopilot', metavar='autopilot',
+                        help='montecarloresult json location of autopilot')
+    parser.add_argument('pacman', metavar='pacman',
+                        help='clusteringResults.json location of pacman')
+    parser.add_argument('supermario', metavar='supermario',
+                        help='clusteringResults.json location of supermario')
+    parser.add_argument('daimler', metavar='daimler',
+                        help='clusteringResults.json location of daimlermodel')
+    return parser.parse_args()
+
+
+args = parse_args()
+visualise_silhouette_result(args.autopilot, "Autopilot")
+visualise_silhouette_result(args.pacman, "Pacman")
+visualise_silhouette_result(args.supermario, "Supermario")
+visualise_silhouette_result(args.daimler, "Daimler")
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