Computer scienceData scienceMachine learningIntroduction to machine learning

Introduction to machine learning

Classification vs clustering

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At the first glance, clustering might seem very similar to classification. Indeed, in both, you assign each example to one of the groups called clusters in clustering and classes in classification.

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Tip: It's important to remember that classification is a subset of supervised learning, and clustering is unsupervised learning (everything comes down to the availability of the property we aim to predict).

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Clustering assigns pre-defined labels to examples, while classification groups similar examples together.

Classification assigns pre-defined labels to examples, while clustering groups similar examples together.

In classification, the correct label of each example is known.

There is no correct way to cluster a set of examples — different solutions are possible depending on the goal of the analysis.

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