week 11 tutorial

numbats · May 10, 2024 · e76bb5c · e76bb5c
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diff --git a/docs/search.json b/docs/search.json
diff --git a/docs/site_libs/bootstrap/bootstrap.min.css b/docs/site_libs/bootstrap/bootstrap.min.css
diff --git a/docs/sitemap.xml b/docs/sitemap.xml
@@ -114,11 +114,11 @@
   </url>
   <url>
     <loc>https://iml.numbat.space/week10/tutorialsol.html</loc>
-    <lastmod>2024-05-03T00:12:27.655Z</lastmod>
+    <lastmod>2024-05-10T02:59:06.590Z</lastmod>
   </url>
   <url>
     <loc>https://iml.numbat.space/week10/tutorial.html</loc>
-    <lastmod>2024-05-03T00:12:27.655Z</lastmod>
+    <lastmod>2024-05-10T02:59:06.590Z</lastmod>
   </url>
   <url>
     <loc>https://iml.numbat.space/week12/index.html</loc>
@@ -188,4 +188,12 @@
     <loc>https://iml.numbat.space/week9/slides.html</loc>
     <lastmod>2024-05-01T02:54:57.040Z</lastmod>
   </url>
+  <url>
+    <loc>https://iml.numbat.space/week11/tutorial.html</loc>
+    <lastmod>2024-05-10T04:46:13.055Z</lastmod>
+  </url>
+  <url>
+    <loc>https://iml.numbat.space/week11/tutorialsol.html</loc>
+    <lastmod>2024-05-10T04:48:59.950Z</lastmod>
+  </url>
 </urlset>
diff --git a/docs/week10/slides.pdf b/docs/week10/slides.pdf
diff --git a/docs/week10/tutorial.html b/docs/week10/tutorial.html
@@ -320,7 +320,7 @@ <h1 class="title">ETC3250/5250 Tutorial 10</h1>
 </div>
 <section id="objectives" class="level2">
 <h2 class="anchored" data-anchor-id="objectives">🎯 Objectives</h2>
-<p>The goal for this week is learn to about fitting support vector machine models.</p>
+<p>The goal for this week is learn to about clustering data using <span class="math inline">\(k\)</span>-means and hierarchical algorithms.</p>
 </section>
 <section id="preparation" class="level2">
 <h2 class="anchored" data-anchor-id="preparation">🔧 Preparation</h2>

diff --git a/docs/week10/tutorial.qmd b/docs/week10/tutorial.qmd
@@ -76,7 +76,7 @@ theme_set(theme_bw(base_size = 14) +
 
 ## `r emo::ji("target")` Objectives
 
-The goal for this week is learn to about fitting support vector machine models. 
+The goal for this week is learn to about clustering data using $k$-means and hierarchical algorithms. 
 
 ## `r emo::ji("wrench")` Preparation 
 

diff --git a/docs/week10/tutorialsol.html b/docs/week10/tutorialsol.html
diff --git a/docs/week11/tutorial.html b/docs/week11/tutorial.html