Unsupervised learning is a class of machine learning that involves finding patterns in unlabeled data. And clustering is an unsupervised learning algorithm that finds patterns in unlabeled data by clustering or grouping together data points together based on some similarity measure. K-Means clustering is a simple and effective clustering algorithm, and you'll learn about that in this tutorial.
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