{ "cells": [ { "cell_type": "markdown", "id": "bee22d09", "metadata": {}, "source": [ "# Evaluating Clustering" ] }, { "cell_type": "code", "execution_count": 1, "id": "fa9f1ed3", "metadata": {}, "outputs": [], "source": [ "import seaborn as sns\n", "import string\n", "from sklearn import datasets\n", "from sklearn.cluster import KMeans\n", "from sklearn import metrics\n", "import pandas as pd" ] }, { "cell_type": "markdown", "id": "f0c8b296", "metadata": {}, "source": [ "We'll continue with the iris dataset because it's visually clear." ] }, { "cell_type": "code", "execution_count": 2, "id": "a2d7cd4c", "metadata": {}, "outputs": [], "source": [ "measurement_cols = ['sepal_length','petal_length','sepal_width','petal_width']\n", "\n", "iris_df = sns.load_dataset('iris')\n", "iris_X = iris_df[measurement_cols]" ] }, { "cell_type": "markdown", "id": "0aa42edf", "metadata": {}, "source": [ "## Clusting with KMeans" ] }, { "cell_type": "code", "execution_count": 3, "id": "c3f9d5b6", "metadata": {}, "outputs": [], "source": [ "km3 = KMeans(n_clusters=3)" ] }, { "cell_type": "code", "execution_count": 4, "id": "aeabced1", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
KMeans(n_clusters=3)
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" ], "text/plain": [ "KMeans(n_clusters=3)" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "km3.fit(iris_X)" ] }, { "cell_type": "code", "execution_count": 5, "id": "0090ce4a", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n", " 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n", " 1, 1, 1, 1, 1, 1, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", " 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", " 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 2, 2, 2, 2, 0, 2, 2, 2,\n", " 2, 2, 2, 0, 0, 2, 2, 2, 2, 0, 2, 0, 2, 0, 2, 2, 0, 0, 2, 2, 2, 2,\n", " 2, 0, 2, 2, 2, 2, 0, 2, 2, 2, 0, 2, 2, 2, 0, 2, 2, 0], dtype=int32)" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "km3.labels_" ] }, { "cell_type": "markdown", "id": "9349adcb", "metadata": {}, "source": [ "How do we tell if this is good?\n", "\n", "One way to intuitively think about a good clustering solution is that every point should be close to points in the same cluster and far from points in other clusters. By definition with Kmeans, they will always be clos*er* to points in the same cluster, but we also what that the clusters aren't just touching, but actually spaced apart, if the clustering actually captures meaningfully different groups.\n", "\n", "## Silhouette Score\n", "\n", "````{margin}\n", "```{admonition} Further Reading\n", "See the [user guide](https://scikit-learn.org/stable/modules/clustering.html#silhouette-coefficient) for more detail on this score including citations to source materials and advantages and disadvantages.\n", "```\n", "````\n", "The [Silhouette score](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.silhouette_score.html) computes a ratio of how close points are to points in the same cluster vs other clusters.\n", "\n", "$$ s = \\frac{b-a}{max(a,b)}$$\n", "\n", "\n", "a: The mean distance between a sample and all other points in the same class.\n", "\n", "\n", "b: The mean distance between a sample and all other points in the next nearest cluster.\n", "\n", "We can calculate this score for each point and get the average.\n", "\n", "If the cluster is really tight, all of the points are close, then a will be small. \n", "If the clusters are really far apart, b will be large.\n", "If both of these are true then b-a will be close to the value of b and the denominator will be b, so the score will be 1.\n", "\n", "If the clusters are spread out and close together, then a and be will be close in value, and the s will be close 0. These are overlapping clusters, or possibly too may clusters for this data.\n", "\n", "\n", "\n", "Let's check our clustering solution:" ] }, { "cell_type": "code", "execution_count": 6, "id": "fd047f32", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.5528190123564098" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "metrics.silhouette_score(iris_X,km3.labels_)" ] }, { "cell_type": "code", "execution_count": 7, "id": "3c5372e2", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
KMeans(n_clusters=4)
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" ], "text/plain": [ "KMeans(n_clusters=4)" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "km2 = KMeans(n_clusters=2)\n", "km4 = KMeans(n_clusters=4)\n", "km2.fit(iris_X)\n", "km4.fit(iris_X)" ] }, { "cell_type": "code", "execution_count": 8, "id": "a9580fa2", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.6810461692117464" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "metrics.silhouette_score(iris_X,km2.labels_)" ] }, { "cell_type": "code", "execution_count": 9, "id": "64d784e0", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.4974551890173759" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "metrics.silhouette_score(iris_X,km4.labels_)" ] }, { "cell_type": "code", "execution_count": 10, "id": "9b9a5912", "metadata": {}, "outputs": [], "source": [ "iris_df['clusters3'] = km3.labels_" ] }, { "cell_type": "code", "execution_count": 11, "id": "53729fc6", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "filenames": { "image/png": "/home/runner/work/BrownFall21/BrownFall21/_build/jupyter_execute/notes/2021-11-05_14_1.png" }, "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.pairplot(data= iris_df,hue= 'clusters3',)\n", "# read docs to figure out hwy it didnt' plot clusters3" ] }, { "cell_type": "markdown", "id": "a2c97cb9", "metadata": {}, "source": [ "````{margin}\n", "```{admonition} Further Reading\n", "\n", "Other types of clustering: [sklearn overivew](https://scikit-learn.org/stable/modules/clustering.html#overview-of-clustering-methods)\n", "\n", "[classifier comparison](https://scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html)\n", "```\n", "````\n", "\n", "## What's a good Silhouette Score?\n", "\n", "To think through what a good silhouette score is, we can apply the score to data that represents different scenarios.\n", "\n", "First, I'll re-sample some data like we used on Monday, but instead of applying K-means and checking the score of the actual algorithm, we'll add a\n", "few different scenarios and add that score." ] }, { "cell_type": "code", "execution_count": 12, "id": "a83eafd8", "metadata": {}, "outputs": [ { "ename": "NameError", "evalue": "name 'np' is not defined", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", "Input \u001b[0;32mIn [12]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 4\u001b[0m mu \u001b[38;5;241m=\u001b[39m {c: i \u001b[38;5;28;01mfor\u001b[39;00m c, i \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mzip\u001b[39m(classes,[[\u001b[38;5;241m2\u001b[39m,\u001b[38;5;241m2\u001b[39m], [\u001b[38;5;241m6\u001b[39m,\u001b[38;5;241m6\u001b[39m], [\u001b[38;5;241m2\u001b[39m,\u001b[38;5;241m6\u001b[39m],[\u001b[38;5;241m6\u001b[39m,\u001b[38;5;241m2\u001b[39m]])}\n\u001b[1;32m 7\u001b[0m \u001b[38;5;66;03m# sample random cluster assignments\u001b[39;00m\n\u001b[0;32m----> 8\u001b[0m target \u001b[38;5;241m=\u001b[39m \u001b[43mnp\u001b[49m\u001b[38;5;241m.\u001b[39mrandom\u001b[38;5;241m.\u001b[39mchoice(classes,N)\n\u001b[1;32m 10\u001b[0m \u001b[38;5;66;03m# sample points with different means according to those assignments\u001b[39;00m\n\u001b[1;32m 11\u001b[0m data \u001b[38;5;241m=\u001b[39m [np\u001b[38;5;241m.\u001b[39mrandom\u001b[38;5;241m.\u001b[39mmultivariate_normal(mu[c],\u001b[38;5;241m.25\u001b[39m\u001b[38;5;241m*\u001b[39mnp\u001b[38;5;241m.\u001b[39meye(\u001b[38;5;241m2\u001b[39m)) \u001b[38;5;28;01mfor\u001b[39;00m c \u001b[38;5;129;01min\u001b[39;00m target]\n", "\u001b[0;31mNameError\u001b[0m: name 'np' is not defined" ] } ], "source": [ "K = 4\n", "N = 200\n", "classes = list(string.ascii_uppercase[:K])\n", "mu = {c: i for c, i in zip(classes,[[2,2], [6,6], [2,6],[6,2]])}\n", "\n", "\n", "# sample random cluster assignments\n", "target = np.random.choice(classes,N)\n", "\n", "# sample points with different means according to those assignments\n", "data = [np.random.multivariate_normal(mu[c],.25*np.eye(2)) for c in target]\n", "df = pd.DataFrame(data = data,columns = ['x' + str(i) for i in range(2)])\n", "\n", "# save the true assignments\n", "df['true'] = target\n", "\n", "# random assignments, right number of clusters\n", "df['random'] = np.random.choice(classes,N)\n", "\n", "# random assignments, way too many clusters\n", "charsK4 = list(string.ascii_uppercase[:K*4])\n", "df['random10'] = np.random.choice(charsK4,N)\n", "\n", "# Kmeans with 2x number of clusters\n", "kmrK2 = KMeans(K*2)\n", "kmK2.fit(df[['x0','x1']])\n", "df['km' + str(K*2)] = kmK2.labels_\n", "\n", "# assign every point to its own cluster\n", "df['id'] = list(range(N))\n", "\n", "df.head()" ] }, { "cell_type": "code", "execution_count": 13, "id": "3ed71b29", "metadata": {}, "outputs": [ { "ename": "NameError", "evalue": "name 'df' is not defined", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", "Input \u001b[0;32mIn [13]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m sns\u001b[38;5;241m.\u001b[39mpairplot(data \u001b[38;5;241m=\u001b[39m\u001b[43mdf\u001b[49m, hue\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mchar\u001b[39m\u001b[38;5;124m'\u001b[39m)\n", "\u001b[0;31mNameError\u001b[0m: name 'df' is not defined" ] } ], "source": [ "sns.pairplot(data =df, hue='char')" ] }, { "cell_type": "markdown", "id": "6e9f2e8e", "metadata": {}, "source": [ "```{admonition} Try it yourself\n", "\n", "Compute the score for each and make plots.\n", "\n", "```\n", "\n", "\n", "## Mutual Information\n", "\n", "````{margin}\n", "```{admonition} Further Reading\n", "Sklearn proides many [mutual information based scores](https://scikit-learn.org/stable/modules/clustering.html#mutual-information-based-scores). See the user guide for definitions of each, pros and cons and examples.\n", "```\n", "````\n", "When we know the truth, we can see if the learned clusters are related to the true groups, we can't compare them like accuracy but we can use a metric that is intuitively like a correlation for categorical variables, the mutual information.\n", "\n", "Formally mutual information uses the joint distribution between the true labels and the cluster assignments to see how much they co-occur. If they're the exact same, then they have maximal mutual information. If they're completely and independent, then they have 0 mutual information.\n", "Mutual information is related to entropy in physics.\n", "\n", "The [`mutual_info_score`](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.mutual_info_score.html#sklearn.metrics.mutual_info_score) method in the `metrics` module computes mutual information.\n", "\n", "\n", "---\n", "\n", "```python\n", "metrics.mutual_info_score(iris_df['species'],km2.labels_)\n", "```\n", "---\n", "\n", "```python\n", "metrics.mutual_info_score(iris_df['species'],km3.labels_)\n", "```\n", "\n", "---\n", "\n", "```python\n", "metrics.mutual_info_score(iris_df['species'],km4.labels_)\n", "```\n", "\n", "There's some random chance of getting things correct, so the adjusted mutual information corrects for that.\n", "\n", "```{admonition} Try it yourself\n", "See how adjusted mutual information and mutual information compare on the iris data, the synthetic data above, or even use it in assignment 9.\n", "```\n", "\n", "\n", "\n", "\n", "## Questions After Class\n", "\n", "\n", "### How I would use all of those different clustering algorithms\n", "```{toggle}\n", "One nice thing about `sklearn` is that in code, they all work basically the same way. The [clustering overivew](https://scikit-learn.org/stable/modules/clustering.html#overview-of-clustering-methods) figure that was saw has the code for it in the [demo](https://scikit-learn.org/stable/auto_examples/cluster/plot_cluster_comparison.html) section of the documentation. So you can download, run, and see all of them.\n", "\n", "In a practical case, we choose by combining domain knowledge, exploratory data analyses (eg looking at the data) and the comparison techniques we'll see in two weeks.\n", "```\n", "\n", "### How exactly do I find numbers of clusters\n", "```{toggle}\n", "We'll look at strategies for finding the optimal number of clusters next week.\n", "```\n", "\n", "### what do you mean by the data is represented in the 4th dimension?\n", "```{toggle}\n", "the iris data has 4 *features* petal length, petal width, sepal length, sepal width. You can think of the features, or columsn of the dataset as dimensions of the data. Each plot shows two of them, since it's a 2 dimensional plot.\n", "```\n", "\n", "### How do we utilize these clusters once we have them?\n", "```{toggle}\n", "Clustering can be used to find subroups in a dataset. For example one of my lab mate in grad school was collaborating with doctors to determine if COPD was actually many diseases with similar symptoms by clustering patients. With the results of the clusters, doctors could use those as hypothses to look for underlying mechanisms of the disease or, they could use the cluster parameters to define classifier. This classifier would allow them to predict how one patient's disease woudl progress over time based on other patients that were similar to them.\n", "\n", "We can also use clustering to just see if there are groups that are actually different or not. For example, we could use the NBA player stats data to see if there are different types of players, statistically. We know that players have a \"position\" that they play, but they may or may not be discretely different statistically, it could be sort of a smooth variation across all players. They could also have more \"types\" of players than there are positions.\n", "\n", "\n", "```\n", "\n", "\n", "\n", "### How do we interpret the cluster labels?\n", "\n", "```{toggle}\n", "We can't know for sure what clusters represent exactly. We can interpret them based on what we know about the features, or if we have labels we can use those. We can use visual inspection to figure it out. \n", "```\n", "\n", "### How does Kmeans work in the simplest terms?\n", "```{toggle}\n", "K means splits the data into K groups based on what points are close together (or most similar). If K = 3, then it will find 3 groups that are most similar.\n", "```\n", "\n", "```{important}\n", "if you don't see your question and the above don't answer it, then I misunderstood your question (the last two are my significant rephrasing of questions I had trouble with). If that's the case, **please** reach out to help me understand what you're confused about.\n", "```" ] } ], "metadata": { "jupytext": { "text_representation": { "extension": ".md", "format_name": "myst", "format_version": 0.13, "jupytext_version": "1.10.3" } }, "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.13" }, "source_map": [ 12, 16, 23, 26, 31, 36, 40, 44, 46, 80, 85, 93, 97, 101, 105, 108, 126, 161, 163 ] }, "nbformat": 4, "nbformat_minor": 5 }