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This Introduction to Machine Learning session will look at clustering, a type of unsupervised learning: learning about the relationships within your data when you do not have any labels. You will learn about two main types of algorithm: k-means clustering and hierarchical clustering. We will go over some of the considerations and pitfalls when applying clustering in practice, and will look at several examples.
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