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3 cards from this section. Quick, good the night before a test.
What is unsupervised learning?
Think about learning without any guidance or answers.
Give an example of a clustering algorithm.
What methods group similar points together?
What does unsupervised learning focus on?
Think about what you can discover without guidance.
True or False: DBSCAN requires you to pre-define the number of clusters.
Reflect on its ability to detect dense regions.
If you have a dataset with varying densities across clusters, how might you select the appropriate clustering algorithm?
Reflect on the sensitivity of algorithms to density.
You use PCA on a dataset, but the results are hard to interpret. What could you do to improve interpretation?
Think about visualization techniques that help make complex data understandable.
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