From ee1b533c56b6c5d877a519e6fc830fc38f3d69e3 Mon Sep 17 00:00:00 2001 From: Jake Walker Date: Fri, 23 Feb 2024 13:51:05 +0000 Subject: [PATCH] Add CIFAR-10 data exploration --- PCA Clustering.ipynb | 183 +++- poetry.lock | 1943 ++++++++++++++++++++++++++++++++---------- pyproject.toml | 21 +- 3 files changed, 1668 insertions(+), 479 deletions(-) diff --git a/PCA Clustering.ipynb b/PCA Clustering.ipynb index 3140b67..cd3df61 100644 --- a/PCA Clustering.ipynb +++ b/PCA Clustering.ipynb @@ -13,12 +13,15 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", - "import pandas as pd" + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "\n", + "%matplotlib inline" ] }, { @@ -30,7 +33,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -42,7 +45,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -51,7 +54,7 @@ "(569, 30)" ] }, - "execution_count": 9, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -62,7 +65,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -71,7 +74,7 @@ "(569,)" ] }, - "execution_count": 10, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -83,7 +86,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -92,7 +95,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -101,7 +104,7 @@ "(569, 31)" ] }, - "execution_count": 13, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -113,7 +116,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -122,7 +125,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -140,7 +143,7 @@ " 'worst symmetry', 'worst fractal dimension'], dtype='" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=[5, 5])\n", + "\n", + "plt.subplot(121)\n", + "curr_img = np.reshape(x_train[0], (32, 32, 3))\n", + "plt.imshow(curr_img)\n", + "print(plt.title(f\"(Label: {label_dict[y_train[0][0]]})\"))\n", + "\n", + "plt.subplot(122)\n", + "curr_img = np.reshape(x_test[0], (32, 32, 3))\n", + "plt.imshow(curr_img)\n", + "print(plt.title(f\"(Label: {label_dict[y_test[0][0]]})\"))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Data Visualisation using PCA" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { @@ -654,7 +795,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - 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