Improve alignment between notebook and book section headers

09_unsupervised_learning.ipynb

@@ -91,7 +91,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Introduction – Classification _vs_ Clustering"
+    "**Introduction – Classification _vs_ Clustering**"
    ]
   },
   {
@@ -320,7 +320,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Fit and Predict"
+    "**Fit and predict**"
    ]
   },
   {
@@ -428,7 +428,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Decision Boundaries"
+    "**Decision Boundaries**"
    ]
   },
   {
@@ -507,7 +507,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Hard Clustering _vs_ Soft Clustering"
+    "**Hard Clustering _vs_ Soft Clustering**"
    ]
   },
   {
@@ -546,7 +546,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### K-Means Algorithm"
+    "### The K-Means Algorithm"
    ]
   },
   {
@@ -639,7 +639,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### K-Means Variability"
+    "**K-Means Variability**"
    ]
   },
   {
@@ -827,7 +827,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### K-Means++"
+    "### Centroid initialization methods"
    ]
   },
   {
@@ -1432,7 +1432,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Limits of K-Means"
+    "## Limits of K-Means"
    ]
   },
   {
@@ -1494,7 +1494,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Using clustering for image segmentation"
+    "## Using Clustering for Image Segmentation"
    ]
   },
   {
@@ -1578,7 +1578,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Using Clustering for Preprocessing"
+    "## Using Clustering for Preprocessing"
    ]
   },
   {
@@ -1785,7 +1785,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Clustering for Semi-supervised Learning"
+    "## Using Clustering for Semi-Supervised Learning"
    ]
   },
   {
@@ -2756,7 +2756,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Anomaly Detection using Gaussian Mixtures"
+    "## Anomaly Detection Using Gaussian Mixtures"
    ]
   },
   {
@@ -2797,7 +2797,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Model selection"
+    "## Selecting the Number of Clusters"
    ]
   },
   {
@@ -2983,7 +2983,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Variational Bayesian Gaussian Mixtures"
+    "## Bayesian Gaussian Mixture Models"
    ]
   },
   {
@@ -3151,7 +3151,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Likelihood Function"
+    "**Likelihood Function**"
    ]
   },
   {
@@ -3242,13 +3242,6 @@
     "plt.show()"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "markdown",
    "metadata": {},