Update links and references to the new repository location.

Author: lmcinnes

notebooks/How HDBSCAN Works.ipynb

@@ -76,7 +76,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Now, the best way to explain HDBSCAN is actually just use it and then go through the steps that occurred along the way teasing out what is happening at each step. So let's load up the [hdbscan library](https://github.com/lmcinnes/hdbscan) and get to work."
+    "Now, the best way to explain HDBSCAN is actually just use it and then go through the steps that occurred along the way teasing out what is happening at each step. So let's load up the [hdbscan library](https://github.com/scikit-learn-contrib/hdbscan) and get to work."
    ]
   },
   {
@@ -417,7 +417,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "And that is how HDBSCAN works. It may seem somewhat complicated -- there are a fair number of moving parts to the algorithm -- but ultimately each part is actually very straightforward and can be optimized well. Hopefully with a better understanding both of the intuitions and some of the implementation details of HDBSCAN you will feel motivated to [try it out](https://github.com/lmcinnes/hdbscan). The library continues to develop, and will provide a base for new ideas including a near parameterless Persistent Density Clustering algorithm, and a new semi-supervised clustering algorithm."
+    "And that is how HDBSCAN works. It may seem somewhat complicated -- there are a fair number of moving parts to the algorithm -- but ultimately each part is actually very straightforward and can be optimized well. Hopefully with a better understanding both of the intuitions and some of the implementation details of HDBSCAN you will feel motivated to [try it out](https://github.com/scikit-learn-contrib/hdbscan). The library continues to develop, and will provide a base for new ideas including a near parameterless Persistent Density Clustering algorithm, and a new semi-supervised clustering algorithm."
    ]
   },
   {