diff --git a/Phase 2/task_10.ipynb b/Phase 2/task_10.ipynb
index b0111d5..cf7d0cf 100644
--- a/Phase 2/task_10.ipynb	
+++ b/Phase 2/task_10.ipynb	
@@ -199,6 +199,8 @@
     "            else:\n",
     "                min_value = np.min(label_rep)\n",
     "                feature_vectors_shifted = label_rep - min_value\n",
+    "                # round off to reduce dictionary size\n",
+    "                feature_vectors_shifted = np.round(feature_vectors_shifted, 3)\n",
     "                comparison_vector = data_model.transform(\n",
     "                    feature_vectors_shifted.flatten().reshape(1, -1)\n",
     "                ).flatten()\n",
diff --git a/Phase 2/task_7.ipynb b/Phase 2/task_7.ipynb
index 8ff27dd..49f9e82 100644
--- a/Phase 2/task_7.ipynb	
+++ b/Phase 2/task_7.ipynb	
@@ -215,6 +215,8 @@
     "            else:\n",
     "                min_value = np.min(image_fd)\n",
     "                feature_vectors_shifted = image_fd - min_value\n",
+    "                # round off to reduce dictionary size\n",
+    "                feature_vectors_shifted = np.round(feature_vectors_shifted, 3)\n",
     "                comparison_vector = data_model.transform(\n",
     "                    feature_vectors_shifted.flatten().reshape(1, -1)\n",
     "                ).flatten()\n",
diff --git a/Phase 2/task_8.ipynb b/Phase 2/task_8.ipynb
index a3fac6d..c685787 100644
--- a/Phase 2/task_8.ipynb	
+++ b/Phase 2/task_8.ipynb	
@@ -213,6 +213,8 @@
     "            else:\n",
     "                min_value = np.min(image_fd)\n",
     "                feature_vectors_shifted = image_fd - min_value\n",
+    "                # round off to reduce dictionary size\n",
+    "                feature_vectors_shifted = np.round(feature_vectors_shifted, 3)\n",
     "                comparison_vector = data_model.transform(\n",
     "                    feature_vectors_shifted.flatten().reshape(1, -1)\n",
     "                ).flatten()\n",
diff --git a/Phase 2/task_9.ipynb b/Phase 2/task_9.ipynb
index 2a22af9..28ce810 100644
--- a/Phase 2/task_9.ipynb	
+++ b/Phase 2/task_9.ipynb	
@@ -200,6 +200,8 @@
     "            else:\n",
     "                min_value = np.min(label_rep)\n",
     "                feature_vectors_shifted = label_rep - min_value\n",
+    "                # round off to reduce dictionary size\n",
+    "                feature_vectors_shifted = np.round(feature_vectors_shifted, 3)\n",
     "                comparison_vector = data_model.transform(\n",
     "                    feature_vectors_shifted.flatten().reshape(1, -1)\n",
     "                ).flatten()\n",
diff --git a/Phase 2/utils.py b/Phase 2/utils.py
index b3e7ef4..22ae20e 100644
--- a/Phase 2/utils.py	
+++ b/Phase 2/utils.py	
@@ -948,6 +948,8 @@ def extract_latent_semantics_from_feature_model(
             # so shift the input by subtracting the smallest value
             min_value = np.min(feature_vectors)
             feature_vectors_shifted = feature_vectors - min_value
+            # round off to reduce dictionary size
+            feature_vectors_shifted = np.round(feature_vectors_shifted, 3)
 
             model = LatentDirichletAllocation(
                 n_components=k, learning_method="online", verbose=4
@@ -1110,6 +1112,8 @@ def extract_latent_semantics_from_sim_matrix(
             # so shift the input by subtracting the smallest value
             min_value = np.min(feature_vectors)
             feature_vectors_shifted = feature_vectors - min_value
+            # round off to reduce dictionary size
+            feature_vectors_shifted = np.round(feature_vectors_shifted, 3)
 
             model = LatentDirichletAllocation(
                 n_components=k, learning_method="online", verbose=4