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2025F Machine Learning, Data Mining (CS-4120-01)

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Principal Component Analysis projects the data into a new (and smaller) set of features.

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Principal

Component Analysis 

keeps the best features and removes the worse ones.

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How do we reconstruct a point x(i) from the compressed representation z(i).

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In which order are these steps performed by PCA?

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What does this plot represent?

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Which of the following are disadvantages of DBSCAN?

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The DBSCAN algorithm partitions the dataset into distinct clusters (i.e. it assigns every point to a different cluster)

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Which of the following are advantages of DBSCAN?

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Which of the following are parameters of DBSCAN?

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