Update deep_learning_based_clustering.ipynb

Edgeshot27 · web-flow · commit de8ffd7ec947 · 2025-03-30T12:13:14.000+05:30
diff --git a/examples/clustering/deep_learning_based_clustering.ipynb b/examples/clustering/deep_learning_based_clustering.ipynb
@@ -69,7 +69,7 @@
   {
    "cell_type": "markdown",
    "source": [
-    "# **Deep Learning Based Clustering**\n",
+    " **Deep Learning Based Clustering**\n",
     "The aeon.clustering.deeplearning module provides powerful deep learning models designed specifically for time series clustering. These models leverage advanced architectures like **Auto-Encoders, Residual Networks, Dilated Convolutions, and Attention Mechanisms** to effectively identify patterns, trends, and groupings in complex temporal data. Each model is tailored to handle different data characteristics, improving clustering accuracy and performance across various domains such as healthcare, finance, and signal processing."
    ],
    "metadata": {

Original file line number	Diff line number	Diff line change
`@@ -69,7 +69,7 @@`
`69`	`69`	`{`
`70`	`70`	`"cell_type": "markdown",`
`71`	`71`	`"source": [`
`72`		`- "# Deep Learning Based Clustering\n",`
	`72`	`+ " Deep Learning Based Clustering\n",`
`73`	`73`	"The aeon.clustering.deeplearning module provides powerful deep learning models designed specifically for time series clustering. These models leverage advanced architectures like Auto-Encoders, Residual Networks, Dilated Convolutions, and Attention Mechanisms to effectively identify patterns, trends, and groupings in complex temporal data. Each model is tailored to handle different data characteristics, improving clustering accuracy and performance across various domains such as healthcare, finance, and signal processing."
`74`	`74`	`],`
`75`	`75`	`"metadata": {`