started 10

Author: tdpetrou

Introduction to Statistical Learning/Chapter 10.ipynb

@@ -67,7 +67,9 @@
     "\n",
     "PCA can be used to visualize high dimensional data in 2 or 3 dimensions. The first component is a weighted linear combination of all the original features where the sum of the squared weights equals 1. These weights are the loading factors. The loading factors of the first principal component maximize the weighted sum of the features for each observation.\n",
     "\n",
-    "The second principal component is uncorrelated with the first which makes it orthogonal to it."
+    "The second principal component is uncorrelated with the first which makes it orthogonal to it.\n",
+    "\n",
+    "The first pc can also be interpretted as the line closest to the data."
    ]
   },
   {