Spaces:

burtenshaw
/

kmeans_silhouette_analysis

Sleeping

Ben Burtenshaw commited on Apr 11, 2023

Commit

0d12531

1 Parent(s): 1f73cff

smaller plots

Files changed (1) hide show

app.py CHANGED Viewed

@@ -35,9 +35,9 @@ def main(
     # For reproducibility
     n_clusters = int(n_clusters)
     fig1, ax1 = plt.subplots()
-    fig1.set_size_inches(18, 7)
     fig2, ax2 = plt.subplots()
-    fig2.set_size_inches(18, 7)
     # The 1st subplot is the silhouette plot
     # The silhouette coefficient can range from -1, 1 but in this example all
     # lie within [-0.1, 1]
@@ -136,7 +136,7 @@ def main(
     )
     return fig1, fig2
-title = '''<h1 style='text-align: center'>Selecting the number of clusters with silhouette analysis on KMeans clustering</h1>'''
 description = """
             This app demonstrates a silhouette analysis for KMeans clustering on sample data.

     # For reproducibility
     n_clusters = int(n_clusters)
     fig1, ax1 = plt.subplots()
+    fig1.set_size_inches(9, 4)
     fig2, ax2 = plt.subplots()
+    fig2.set_size_inches(9, 4)
     # The 1st subplot is the silhouette plot
     # The silhouette coefficient can range from -1, 1 but in this example all
     # lie within [-0.1, 1]
     )
     return fig1, fig2
+title = '''# Selecting the number of clusters with silhouette analysis on KMeans clustering 📊'''
 description = """
             This app demonstrates a silhouette analysis for KMeans clustering on sample data.