plot tool updates

tools/plot_scripts/deepsad_tsne_latent_space.py

@@ -78,11 +78,19 @@ def plot_tsne_latent_space(normal_data, anomaly_data, title="TSNE of Latent Spac
     Plot the TSNE representation of the latent space.
     This function first applies a PCA-based dimensionality reduction for efficiency.
     """
+    # Hardcoded variables to choose every nth normal sample and mth anomaly sample
+    n = 10  # Change this value to select every nth normal sample
+    m = 2  # Change this value to select every mth anomaly sample
+
+    # Select every nth normal sample and mth anomaly sample
+    normal_data = normal_data[::n]
+    anomaly_data = anomaly_data[::m]
+
     # Combine normal and anomaly data
     combined_data = np.vstack((normal_data, anomaly_data))
 
     # Initial dimensionality reduction with PCA
-    reduced_data = reduce_dimensionality(combined_data, n_components=50)
+    reduced_data = reduce_dimensionality(combined_data, n_components=100)
 
     # Apply TSNE transformation on the PCA-reduced data
     tsne = TSNE(n_components=2, random_state=42)