diff --git a/doc/ipython-notebooks/clustering/GMM.ipynb b/doc/ipython-notebooks/clustering/GMM.ipynb
index a9dd08d0d27..d282ebf23ab 100644
--- a/doc/ipython-notebooks/clustering/GMM.ipynb
+++ b/doc/ipython-notebooks/clustering/GMM.ipynb
@@ -1,6 +1,7 @@
{
"metadata": {
- "name": ""
+ "name": "",
+ "signature": "sha256:2360184c5183480d9a2f8ce3f73ed3c929a0ada3429ecb95ee828fa9ae5e98a8"
},
"nbformat": 3,
"nbformat_minor": 0,
diff --git a/doc/ipython-notebooks/pca/pca_notebook.ipynb b/doc/ipython-notebooks/pca/pca_notebook.ipynb
index e282c6c590a..0ec06248dea 100644
--- a/doc/ipython-notebooks/pca/pca_notebook.ipynb
+++ b/doc/ipython-notebooks/pca/pca_notebook.ipynb
@@ -1,7 +1,7 @@
{
"metadata": {
"name": "",
- "signature": "sha256:3d13daedde9c7640249c0cb0983d00d6519b14626cee436879a4b5208e5b14a6"
+ "signature": "sha256:46b463d9024d044a8ad08cf843cfa18439fd25774f2106d76566b5109a652b9a"
},
"nbformat": 3,
"nbformat_minor": 0,
@@ -28,7 +28,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "This notebook is about finding Principal Components of data (Unsupervised). It's dimensional reduction capabilities are further utilised to show it's application in data compression, image processing and face recognition. "
+ "This notebook is about finding Principal Components (PCA) of data (Unsupervised). It's dimensional reduction capabilities are further utilised to show it's application in data compression, image processing and face recognition. "
]
},
{