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psets/pset2sol.ipynb
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@ -634,9 +634,7 @@
"\n",
"In this problem you will use **principal components analysis (PCA)** and the SVD to classify a images.\n",
"\n",
"The code below downloads a [collection of 80 monochrome/grayscale drawings](https://math.mit.edu/~stevenj/snow.zip) of [snowpeople](https://en.wikipedia.org/wiki/Snowman) and [snowflakes](https://en.wikipedia.org/wiki/Snowflake) found by a google image search in Spring 2023, shown in miniature here:\n",
"\n",
"![image.png](attachment:image.png)\n",
"The code below downloads a [collection of 80 monochrome/grayscale drawings](https://math.mit.edu/~stevenj/snow.zip) of [snowpeople](https://en.wikipedia.org/wiki/Snowman) and [snowflakes](https://en.wikipedia.org/wiki/Snowflake) found by a google image search in Spring 2023.\n",
"\n",
"Each image is resized to a common size of $156 \\times 128$, and then reshaped into a vector of $156\\times 156 = 19968$ numbers (the grayscale intensity of each pixel), and stored in a matrix $X$ of \"measurements\" for 80 images:\n",
"$$\n",