{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Clustering\n", "\n", "A common task or goal within data analysis is to learn some kind of structure from data. One way to do so is to apply clustering analysis to data. This typically means trying to learn 'groups' or clusters in the data. \n", "\n", "This example is a minimal example of clustering adapted from the `sklearn` tutorials, to introduce the key points and show an introductory example of a clustering analysis. \n", "\n", "As with many of the other topics in data analysis, there are many resources and tutorials available on the clustering analyses. A good place to start is the extensive coverage in the `sklearn` documentation. If you are interested in clustering analyses, once you have explored the basic concepts here, we recommend you go and explore some of these other resources. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "