Data Preprocessing II Quiz

• To avoid the curse of dimensionality (correct)
• To increase the number of irrelevant features
• To complicate data mining
• To visualize data in higher dimensions

• Adds noise to the data
• Increases the dimensionality of data
• Transforms high-dimensional data into lower dimensions while retaining information (correct)
• Has no impact on data dimensionality

• Irrelevant features
• The largest amount of variation (correct)
• The smallest amount of variation
• Noise

<p>They are projected onto a much smaller space, resulting in dimensionality reduction (D)</p> Signup and view all the answers

<p>Reduce time and space required (A)</p> Signup and view all the answers